Overview

Brought to you by YData

Dataset statistics

Number of variables134
Number of observations26208
Missing cells4752
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 27 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 24 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 34 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 10 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 4 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 24 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 30 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 38 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 3 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 44 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 33 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 44 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 45 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Ambient WindSpeed Min. [m/s] and 29 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Blades PitchAngle StdDev [°] and 6 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 12 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Min. [°] and 6 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Min. [°] and 6 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 24 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with Active power limit [W] and 6 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit [W] and 5 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 4 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with Grid Production ReactivePower Max. [W] and 1 other fieldsHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with missing_dataHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 36 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 47 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Max. [°] and 9 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Production LatestAverage Total Reactive Power Avg. [var] and 1 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Blades PitchAngle StdDev [°] and 22 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 24 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.4%) Imbalance
Active power limit source is highly imbalanced (98.9%) Imbalance
Power factor set point is highly imbalanced (98.9%) Imbalance
Power factor set point source is highly imbalanced (98.9%) Imbalance
missing_data is highly imbalanced (98.5%) Imbalance
Generator RPM Min. [RPM] is highly skewed (γ1 = 49.54259064) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 80.46481651) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 80.73912019) Skewed
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -34.76524477) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -35.42070947) Skewed
Grid Production VoltagePhase3 Avg. [V] is highly skewed (γ1 = -33.89228409) Skewed
Active power limit [W] is highly skewed (γ1 = -22.66858795) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -66.21170889) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 69.50855706) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -37.24500904) Skewed
First Alarm parameter 1 in 10 min frame is highly skewed (γ1 = 33.04663765) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 67.47928531) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Grid ok hours [h] is uniformly distributed Uniform
Ambient ok hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 782 (3.0%) zeros Zeros
Generator RPM Min. [RPM] has 1738 (6.6%) zeros Zeros
Generator RPM Avg. [RPM] has 1064 (4.1%) zeros Zeros
Generator RPM StdDev [RPM] has 990 (3.8%) zeros Zeros
Rotor RPM Max. [RPM] has 1020 (3.9%) zeros Zeros
Rotor RPM Min. [RPM] has 1918 (7.3%) zeros Zeros
Rotor RPM Avg. [RPM] has 1449 (5.5%) zeros Zeros
Rotor RPM StdDev [RPM] has 8076 (30.8%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 19360 (73.9%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 10697 (40.8%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3459 (13.2%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3396 (13.0%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3879 (14.8%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3888 (14.8%) zeros Zeros
Blades PitchAngle Min. [°] has 301 (1.1%) zeros Zeros
Blades PitchAngle Avg. [°] has 414 (1.6%) zeros Zeros
Blades PitchAngle StdDev [°] has 4619 (17.6%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 310 (1.2%) zeros Zeros
HourCounters Average Run Avg. [h] has 468 (1.8%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 15608 (59.6%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 14087 (53.8%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 11773 (44.9%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 26015 (99.3%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 267 (1.0%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 6282 (24.0%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25615 (97.7%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 20017 (76.4%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 15564 (59.4%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 14021 (53.5%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 20044 (76.5%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 22948 (87.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23995 (91.6%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 16523 (63.0%) zeros Zeros
System Logs First Active Alarm No has 25615 (97.7%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25822 (98.5%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26161 (99.8%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:43:51.157714
Analysis finished2025-05-05 15:44:20.567973
Duration29.41 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:44:20.608800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:44:21.139836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1236
Distinct (%)4.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1208.7683
Minimum0
Maximum2019
Zeros782
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:21.224953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q11060
median1307
Q31646
95-th percentile1753
Maximum2019
Range2019
Interquartile range (IQR)586

Descriptive statistics

Standard deviation523.38909
Coefficient of variation (CV)0.43299373
Kurtosis0.14615088
Mean1208.7683
Median Absolute Deviation (MAD)301
Skewness-1.095075
Sum31635884
Variance273936.14
MonotonicityNot monotonic
2025-05-05T17:44:21.305111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 782
 
3.0%
1055 355
 
1.4%
1053 339
 
1.3%
1054 336
 
1.3%
1056 322
 
1.2%
1057 246
 
0.9%
1059 242
 
0.9%
1060 230
 
0.9%
1058 228
 
0.9%
1064 219
 
0.8%
Other values (1226) 22873
87.3%
ValueCountFrequency (%)
0 782
3.0%
1 93
 
0.4%
2 53
 
0.2%
3 38
 
0.1%
4 29
 
0.1%
5 26
 
0.1%
6 17
 
0.1%
7 22
 
0.1%
8 14
 
0.1%
9 20
 
0.1%
ValueCountFrequency (%)
2019 1
< 0.1%
1945 1
< 0.1%
1882 1
< 0.1%
1880 1
< 0.1%
1873 1
< 0.1%
1872 1
< 0.1%
1871 1
< 0.1%
1869 1
< 0.1%
1868 2
< 0.1%
1865 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1096
Distinct (%)4.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1008.2848
Minimum0
Maximum65535
Zeros1738
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:21.384085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11007
median1043
Q31320.25
95-th percentile1608
Maximum65535
Range65535
Interquartile range (IQR)313.25

Descriptive statistics

Standard deviation938.50222
Coefficient of variation (CV)0.93079084
Kurtosis3413.5134
Mean1008.2848
Median Absolute Deviation (MAD)217
Skewness49.542591
Sum26388829
Variance880786.42
MonotonicityNot monotonic
2025-05-05T17:44:21.459061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1738
 
6.6%
1044 689
 
2.6%
1043 668
 
2.5%
1042 550
 
2.1%
1041 514
 
2.0%
1039 426
 
1.6%
1040 420
 
1.6%
1038 365
 
1.4%
1036 333
 
1.3%
1045 332
 
1.3%
Other values (1086) 20137
76.8%
ValueCountFrequency (%)
0 1738
6.6%
1 112
 
0.4%
2 44
 
0.2%
3 13
 
< 0.1%
4 10
 
< 0.1%
5 14
 
0.1%
6 13
 
< 0.1%
7 9
 
< 0.1%
8 10
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
65535 4
 
< 0.1%
1636 3
 
< 0.1%
1635 5
 
< 0.1%
1634 15
0.1%
1633 15
0.1%
1632 20
0.1%
1631 19
0.1%
1630 18
0.1%
1629 17
0.1%
1628 25
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1473
Distinct (%)5.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1101.8862
Minimum0
Maximum1647
Zeros1064
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:21.535566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q11049
median1113
Q31563
95-th percentile1640
Maximum1647
Range1647
Interquartile range (IQR)514

Descriptive statistics

Standard deviation505.04012
Coefficient of variation (CV)0.45834146
Kurtosis-0.10133548
Mean1101.8862
Median Absolute Deviation (MAD)326
Skewness-0.9524071
Sum28838565
Variance255065.52
MonotonicityNot monotonic
2025-05-05T17:44:21.612904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 3829
 
14.6%
1639 1890
 
7.2%
0 1064
 
4.1%
1050 583
 
2.2%
1640 531
 
2.0%
1638 529
 
2.0%
1641 416
 
1.6%
1051 293
 
1.1%
1642 269
 
1.0%
1637 263
 
1.0%
Other values (1463) 16505
63.0%
ValueCountFrequency (%)
0 1064
4.1%
1 87
 
0.3%
2 48
 
0.2%
3 46
 
0.2%
4 49
 
0.2%
5 39
 
0.1%
6 35
 
0.1%
7 28
 
0.1%
8 24
 
0.1%
9 25
 
0.1%
ValueCountFrequency (%)
1647 2
 
< 0.1%
1646 3
 
< 0.1%
1645 16
 
0.1%
1644 59
 
0.2%
1643 140
 
0.5%
1642 269
 
1.0%
1641 416
 
1.6%
1640 531
 
2.0%
1639 1890
7.2%
1638 529
 
2.0%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct490
Distinct (%)1.9%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean50.414489
Minimum0
Maximum779
Zeros990
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:21.690025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median27
Q366
95-th percentile154
Maximum779
Range779
Interquartile range (IQR)59

Descriptive statistics

Standard deviation73.949155
Coefficient of variation (CV)1.4668235
Kurtosis17.812789
Mean50.414489
Median Absolute Deviation (MAD)23
Skewness3.5889494
Sum1319448
Variance5468.4775
MonotonicityNot monotonic
2025-05-05T17:44:21.770858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1248
 
4.8%
0 990
 
3.8%
1 932
 
3.6%
3 840
 
3.2%
5 767
 
2.9%
4 762
 
2.9%
6 746
 
2.8%
7 673
 
2.6%
8 602
 
2.3%
9 541
 
2.1%
Other values (480) 18071
69.0%
ValueCountFrequency (%)
0 990
3.8%
1 932
3.6%
2 1248
4.8%
3 840
3.2%
4 762
2.9%
5 767
2.9%
6 746
2.8%
7 673
2.6%
8 602
2.3%
9 541
2.1%
ValueCountFrequency (%)
779 1
< 0.1%
778 1
< 0.1%
773 1
< 0.1%
751 1
< 0.1%
746 1
< 0.1%
743 1
< 0.1%
740 1
< 0.1%
737 1
< 0.1%
735 1
< 0.1%
732 1
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct57
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean43.140073
Minimum0
Maximum79
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:21.851931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q134
median40
Q348
95-th percentile67
Maximum79
Range79
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.476118
Coefficient of variation (CV)0.26601991
Kurtosis0.23870437
Mean43.140073
Median Absolute Deviation (MAD)6
Skewness1.0189002
Sum1129062
Variance131.70129
MonotonicityNot monotonic
2025-05-05T17:44:21.931788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 1855
 
7.1%
33 1542
 
5.9%
42 1386
 
5.3%
36 1276
 
4.9%
40 1243
 
4.7%
35 1235
 
4.7%
41 1198
 
4.6%
32 1159
 
4.4%
38 1005
 
3.8%
37 906
 
3.5%
Other values (47) 13367
51.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
24 14
 
0.1%
25 81
 
0.3%
26 58
 
0.2%
27 103
 
0.4%
28 318
 
1.2%
29 393
 
1.5%
30 598
2.3%
31 676
2.6%
32 1159
4.4%
ValueCountFrequency (%)
79 1
 
< 0.1%
78 11
 
< 0.1%
77 20
 
0.1%
76 25
 
0.1%
75 26
 
0.1%
74 188
0.7%
73 159
0.6%
72 204
0.8%
71 143
0.5%
70 118
0.5%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct88
Distinct (%)0.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean51.303339
Minimum0
Maximum107
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.012250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q138
median45
Q361
95-th percentile95
Maximum107
Range107
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.247957
Coefficient of variation (CV)0.37517942
Kurtosis0.24890164
Mean51.303339
Median Absolute Deviation (MAD)10
Skewness1.0389188
Sum1342711
Variance370.48385
MonotonicityNot monotonic
2025-05-05T17:44:22.090371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1250
 
4.8%
39 1191
 
4.5%
40 1133
 
4.3%
38 1058
 
4.0%
41 994
 
3.8%
42 861
 
3.3%
29 857
 
3.3%
44 746
 
2.8%
43 733
 
2.8%
31 664
 
2.5%
Other values (78) 16685
63.7%
ValueCountFrequency (%)
0 4
 
< 0.1%
21 8
 
< 0.1%
22 2
 
< 0.1%
23 4
 
< 0.1%
24 4
 
< 0.1%
25 10
 
< 0.1%
26 72
 
0.3%
27 100
 
0.4%
28 277
 
1.1%
29 857
3.3%
ValueCountFrequency (%)
107 7
 
< 0.1%
106 18
 
0.1%
105 14
 
0.1%
104 8
 
< 0.1%
103 11
 
< 0.1%
102 124
0.5%
101 251
1.0%
100 232
0.9%
99 193
0.7%
98 149
0.6%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)0.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean53.178855
Minimum0
Maximum112
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.167260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q139
median46
Q364
95-th percentile99
Maximum112
Range112
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.38517
Coefficient of variation (CV)0.38333224
Kurtosis0.17499731
Mean53.178855
Median Absolute Deviation (MAD)11
Skewness1.0064236
Sum1391797
Variance415.55515
MonotonicityNot monotonic
2025-05-05T17:44:22.368188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1282
 
4.9%
40 1233
 
4.7%
42 1048
 
4.0%
41 989
 
3.8%
39 817
 
3.1%
43 803
 
3.1%
44 773
 
2.9%
46 685
 
2.6%
45 682
 
2.6%
29 680
 
2.6%
Other values (83) 17180
65.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
21 5
 
< 0.1%
22 4
 
< 0.1%
23 4
 
< 0.1%
24 3
 
< 0.1%
25 8
 
< 0.1%
26 54
 
0.2%
27 92
 
0.4%
28 171
 
0.7%
29 680
2.6%
ValueCountFrequency (%)
112 3
 
< 0.1%
111 20
 
0.1%
110 10
 
< 0.1%
109 11
 
< 0.1%
108 7
 
< 0.1%
107 9
 
< 0.1%
106 192
0.7%
105 234
0.9%
104 243
0.9%
103 161
0.6%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct90
Distinct (%)0.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean52.377121
Minimum0
Maximum109
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.444341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q139
median46
Q362
95-th percentile97
Maximum109
Range109
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.671932
Coefficient of variation (CV)0.37558254
Kurtosis0.19851051
Mean52.377121
Median Absolute Deviation (MAD)11
Skewness1.0101399
Sum1370814
Variance386.9849
MonotonicityNot monotonic
2025-05-05T17:44:22.522095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1288
 
4.9%
40 1259
 
4.8%
42 1040
 
4.0%
41 955
 
3.6%
39 904
 
3.4%
44 787
 
3.0%
43 765
 
2.9%
38 736
 
2.8%
31 698
 
2.7%
45 669
 
2.6%
Other values (80) 17071
65.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
21 6
 
< 0.1%
22 3
 
< 0.1%
23 4
 
< 0.1%
24 3
 
< 0.1%
25 10
 
< 0.1%
26 52
 
0.2%
27 95
 
0.4%
28 189
 
0.7%
29 668
2.5%
ValueCountFrequency (%)
109 1
 
< 0.1%
108 20
 
0.1%
107 17
 
0.1%
106 7
 
< 0.1%
105 13
 
< 0.1%
104 111
0.4%
103 224
0.9%
102 233
0.9%
101 209
0.8%
100 144
0.5%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.380177
Minimum0
Maximum42
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.589521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q123
median27
Q331
95-th percentile35
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.9031865
Coefficient of variation (CV)0.17907797
Kurtosis-0.82506925
Mean27.380177
Median Absolute Deviation (MAD)4
Skewness0.16762963
Sum716594
Variance24.041238
MonotonicityNot monotonic
2025-05-05T17:44:22.648884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
25 2187
 
8.3%
24 2023
 
7.7%
23 1831
 
7.0%
22 1673
 
6.4%
26 1668
 
6.4%
32 1587
 
6.1%
27 1551
 
5.9%
21 1502
 
5.7%
30 1473
 
5.6%
34 1357
 
5.2%
Other values (19) 9320
35.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
17 41
 
0.2%
18 173
 
0.7%
19 482
 
1.8%
20 969
3.7%
21 1502
5.7%
22 1673
6.4%
23 1831
7.0%
ValueCountFrequency (%)
42 7
 
< 0.1%
41 11
 
< 0.1%
40 26
 
0.1%
39 14
 
0.1%
38 156
 
0.6%
37 262
 
1.0%
36 808
3.1%
35 1005
3.8%
34 1357
5.2%
33 1292
4.9%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct51
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean46.327564
Minimum0
Maximum74
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.717338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q140
median46
Q353
95-th percentile64
Maximum74
Range74
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.4403294
Coefficient of variation (CV)0.20377349
Kurtosis-0.3754457
Mean46.327564
Median Absolute Deviation (MAD)6
Skewness0.2379472
Sum1212485
Variance89.119819
MonotonicityNot monotonic
2025-05-05T17:44:22.795579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1201
 
4.6%
42 1180
 
4.5%
44 1157
 
4.4%
41 1097
 
4.2%
46 1060
 
4.0%
47 1030
 
3.9%
48 1021
 
3.9%
50 982
 
3.7%
45 937
 
3.6%
43 927
 
3.5%
Other values (41) 15580
59.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
25 59
 
0.2%
26 62
 
0.2%
27 71
 
0.3%
28 169
 
0.6%
29 240
0.9%
30 383
1.5%
31 337
1.3%
32 414
1.6%
33 438
1.7%
ValueCountFrequency (%)
74 2
 
< 0.1%
73 4
 
< 0.1%
72 21
 
0.1%
71 18
 
0.1%
70 38
 
0.1%
69 54
 
0.2%
68 141
 
0.5%
67 223
0.9%
66 217
0.8%
65 360
1.4%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean32.359086
Minimum0
Maximum48
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.864885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median32
Q335
95-th percentile40
Maximum48
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.1148601
Coefficient of variation (CV)0.12716243
Kurtosis0.53083791
Mean32.359086
Median Absolute Deviation (MAD)3
Skewness0.62624401
Sum846902
Variance16.932074
MonotonicityNot monotonic
2025-05-05T17:44:22.931286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28 4504
17.2%
29 4478
17.1%
34 3467
13.2%
35 3111
11.9%
30 1916
7.3%
36 1496
 
5.7%
31 1026
 
3.9%
32 1007
 
3.8%
33 919
 
3.5%
40 782
 
3.0%
Other values (20) 3466
13.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
20 4
 
< 0.1%
21 9
 
< 0.1%
22 4
 
< 0.1%
23 6
 
< 0.1%
24 9
 
< 0.1%
25 38
 
0.1%
26 101
 
0.4%
27 641
 
2.4%
28 4504
17.2%
ValueCountFrequency (%)
48 16
 
0.1%
47 35
 
0.1%
46 84
 
0.3%
45 41
 
0.2%
44 51
 
0.2%
43 53
 
0.2%
42 272
 
1.0%
41 609
2.3%
40 782
3.0%
39 460
1.8%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean48.891334
Minimum0
Maximum61
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:22.994975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q146
median48
Q352
95-th percentile54
Maximum61
Range61
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3906943
Coefficient of variation (CV)0.069351641
Kurtosis6.2314342
Mean48.891334
Median Absolute Deviation (MAD)2
Skewness-0.2087838
Sum1279584
Variance11.496808
MonotonicityNot monotonic
2025-05-05T17:44:23.060744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
46 3424
13.1%
47 3143
12.0%
45 2844
10.9%
48 2795
10.7%
53 2267
8.7%
54 2221
8.5%
52 2046
7.8%
49 1960
7.5%
50 1777
6.8%
51 1748
6.7%
Other values (22) 1947
7.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
30 1
 
< 0.1%
32 5
 
< 0.1%
33 3
 
< 0.1%
34 5
 
< 0.1%
35 5
 
< 0.1%
36 4
 
< 0.1%
37 8
 
< 0.1%
38 13
< 0.1%
39 20
0.1%
ValueCountFrequency (%)
61 17
 
0.1%
60 71
 
0.3%
59 47
 
0.2%
58 47
 
0.2%
57 26
 
0.1%
56 64
 
0.2%
55 277
 
1.1%
54 2221
8.5%
53 2267
8.7%
52 2046
7.8%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.6 MiB
999.0
26172 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130860
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:23.124157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:23.158893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.6 MiB
999.0
26172 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130860
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:23.197845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:23.230566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean56.890226
Minimum0
Maximum68
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:23.275836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q153
median56
Q362
95-th percentile67
Maximum68
Range68
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.3626704
Coefficient of variation (CV)0.11184119
Kurtosis0.27357451
Mean56.890226
Median Absolute Deviation (MAD)4
Skewness-0.17560501
Sum1488931
Variance40.483574
MonotonicityNot monotonic
2025-05-05T17:44:23.348751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
54 3089
 
11.8%
53 2288
 
8.7%
67 2124
 
8.1%
55 1838
 
7.0%
56 1362
 
5.2%
65 1205
 
4.6%
59 1127
 
4.3%
64 1107
 
4.2%
63 1076
 
4.1%
61 970
 
3.7%
Other values (31) 9986
38.1%
ValueCountFrequency (%)
0 4
< 0.1%
29 3
< 0.1%
30 3
< 0.1%
31 1
 
< 0.1%
32 1
 
< 0.1%
33 1
 
< 0.1%
34 2
< 0.1%
35 2
< 0.1%
36 4
< 0.1%
37 2
< 0.1%
ValueCountFrequency (%)
68 159
 
0.6%
67 2124
8.1%
66 823
 
3.1%
65 1205
4.6%
64 1107
4.2%
63 1076
4.1%
62 851
3.2%
61 970
3.7%
60 833
 
3.2%
59 1127
4.3%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean48.827755
Minimum0
Maximum59
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:23.415859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q149
median49
Q349
95-th percentile51
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0342067
Coefficient of variation (CV)0.041660869
Kurtosis66.413597
Mean48.827755
Median Absolute Deviation (MAD)0
Skewness-4.9901894
Sum1277920
Variance4.137997
MonotonicityNot monotonic
2025-05-05T17:44:23.482244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
49 17604
67.2%
51 2532
 
9.7%
50 2253
 
8.6%
48 750
 
2.9%
46 578
 
2.2%
47 455
 
1.7%
45 429
 
1.6%
44 399
 
1.5%
52 321
 
1.2%
43 299
 
1.1%
Other values (21) 552
 
2.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
29 2
 
< 0.1%
30 6
 
< 0.1%
31 12
< 0.1%
32 14
0.1%
33 11
< 0.1%
34 18
0.1%
35 12
< 0.1%
36 17
0.1%
37 12
< 0.1%
ValueCountFrequency (%)
59 1
 
< 0.1%
58 1
 
< 0.1%
56 1
 
< 0.1%
55 21
 
0.1%
54 51
 
0.2%
53 33
 
0.1%
52 321
 
1.2%
51 2532
 
9.7%
50 2253
 
8.6%
49 17604
67.2%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:23.546594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:23.580461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean59.982424
Minimum0
Maximum74
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:23.622425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q154
median59
Q369
95-th percentile73
Maximum74
Range74
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.9994712
Coefficient of variation (CV)0.15003514
Kurtosis-0.77563127
Mean59.982424
Median Absolute Deviation (MAD)7
Skewness-0.1604092
Sum1569860
Variance80.990482
MonotonicityNot monotonic
2025-05-05T17:44:23.693797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
73 2187
 
8.3%
55 1434
 
5.5%
56 1391
 
5.3%
71 1340
 
5.1%
54 1303
 
5.0%
72 1184
 
4.5%
57 1040
 
4.0%
70 931
 
3.6%
58 921
 
3.5%
59 913
 
3.5%
Other values (27) 13528
51.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
39 15
 
0.1%
40 40
 
0.2%
41 145
 
0.6%
42 266
1.0%
43 285
1.1%
44 367
1.4%
45 443
1.7%
46 487
1.9%
47 456
1.7%
ValueCountFrequency (%)
74 166
 
0.6%
73 2187
8.3%
72 1184
4.5%
71 1340
5.1%
70 931
3.6%
69 795
 
3.0%
68 661
 
2.5%
67 720
 
2.7%
66 612
 
2.3%
65 715
 
2.7%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean59.620969
Minimum0
Maximum76
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:23.766141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q154
median58
Q367
95-th percentile74
Maximum76
Range76
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0782477
Coefficient of variation (CV)0.15226602
Kurtosis-0.59152774
Mean59.620969
Median Absolute Deviation (MAD)6
Skewness-0.031302559
Sum1560400
Variance82.414581
MonotonicityNot monotonic
2025-05-05T17:44:23.838371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
56 2030
 
7.7%
55 1798
 
6.9%
54 1315
 
5.0%
57 1309
 
5.0%
74 1280
 
4.9%
58 1145
 
4.4%
59 943
 
3.6%
75 889
 
3.4%
71 786
 
3.0%
70 784
 
3.0%
Other values (32) 13893
53.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
36 1
 
< 0.1%
37 5
 
< 0.1%
38 10
 
< 0.1%
39 40
 
0.2%
40 93
 
0.4%
41 201
0.8%
42 279
1.1%
43 272
1.0%
44 378
1.4%
ValueCountFrequency (%)
76 37
 
0.1%
75 889
3.4%
74 1280
4.9%
73 639
2.4%
72 780
3.0%
71 786
3.0%
70 784
3.0%
69 671
2.6%
68 611
2.3%
67 632
2.4%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean58.357787
Minimum0
Maximum75
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.038533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q154
median56
Q365
95-th percentile74
Maximum75
Range75
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.4903812
Coefficient of variation (CV)0.1454884
Kurtosis-0.37238907
Mean58.357787
Median Absolute Deviation (MAD)5
Skewness0.21625999
Sum1527340
Variance72.086572
MonotonicityNot monotonic
2025-05-05T17:44:24.109028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
54 4138
 
15.8%
55 2383
 
9.1%
56 1442
 
5.5%
74 1426
 
5.4%
57 923
 
3.5%
59 861
 
3.3%
60 782
 
3.0%
58 771
 
2.9%
73 728
 
2.8%
53 678
 
2.6%
Other values (30) 12040
45.9%
ValueCountFrequency (%)
0 4
 
< 0.1%
37 1
 
< 0.1%
38 10
 
< 0.1%
39 26
 
0.1%
40 49
 
0.2%
41 190
0.7%
42 248
0.9%
43 282
1.1%
44 306
1.2%
45 414
1.6%
ValueCountFrequency (%)
75 36
 
0.1%
74 1426
5.4%
73 728
2.8%
72 578
2.2%
71 558
 
2.1%
70 592
2.3%
69 609
2.3%
68 593
2.3%
67 565
 
2.2%
66 505
 
1.9%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean60.371275
Minimum0
Maximum70
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.176923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q159
median61
Q366
95-th percentile69
Maximum70
Range70
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.8262422
Coefficient of variation (CV)0.11307103
Kurtosis1.0054055
Mean60.371275
Median Absolute Deviation (MAD)4
Skewness-0.91193301
Sum1580037
Variance46.597582
MonotonicityNot monotonic
2025-05-05T17:44:24.243886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
59 3567
13.6%
60 2937
 
11.2%
69 1941
 
7.4%
61 1884
 
7.2%
67 1714
 
6.5%
63 1466
 
5.6%
62 1385
 
5.3%
68 1104
 
4.2%
65 1096
 
4.2%
66 1074
 
4.1%
Other values (23) 8004
30.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
39 4
 
< 0.1%
40 30
 
0.1%
41 47
 
0.2%
42 193
0.7%
43 168
 
0.6%
44 291
1.1%
45 239
0.9%
46 425
1.6%
47 399
1.5%
ValueCountFrequency (%)
70 896
3.4%
69 1941
7.4%
68 1104
4.2%
67 1714
6.5%
66 1074
4.1%
65 1096
4.2%
64 1017
3.9%
63 1466
5.6%
62 1385
5.3%
61 1884
7.2%
Distinct41
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean61.801544
Minimum0
Maximum76
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.312673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.55
Q159
median62
Q369
95-th percentile75
Maximum76
Range76
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9060822
Coefficient of variation (CV)0.14410776
Kurtosis0.040514804
Mean61.801544
Median Absolute Deviation (MAD)5
Skewness-0.57380507
Sum1617470
Variance79.3183
MonotonicityNot monotonic
2025-05-05T17:44:24.383642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
59 2013
 
7.7%
61 1923
 
7.3%
60 1920
 
7.3%
75 1634
 
6.2%
63 1585
 
6.0%
62 1526
 
5.8%
64 1167
 
4.5%
72 1017
 
3.9%
65 937
 
3.6%
74 930
 
3.5%
Other values (31) 11520
44.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
37 5
 
< 0.1%
38 31
 
0.1%
39 79
 
0.3%
40 174
0.7%
41 175
0.7%
42 248
0.9%
43 270
1.0%
44 323
1.2%
45 378
1.4%
ValueCountFrequency (%)
76 61
 
0.2%
75 1634
6.2%
74 930
3.5%
73 792
3.0%
72 1017
3.9%
71 880
3.4%
70 709
2.7%
69 686
2.6%
68 627
 
2.4%
67 698
2.7%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean28.25363
Minimum0
Maximum42
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.449238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q124
median28
Q332
95-th percentile35
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.1004375
Coefficient of variation (CV)0.14512958
Kurtosis-0.63701961
Mean28.25363
Median Absolute Deviation (MAD)4
Skewness0.37332158
Sum739454
Variance16.813588
MonotonicityNot monotonic
2025-05-05T17:44:24.509206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
24 7977
30.4%
34 2497
 
9.5%
25 1874
 
7.2%
30 1793
 
6.8%
29 1614
 
6.2%
32 1604
 
6.1%
31 1568
 
6.0%
28 1550
 
5.9%
27 1359
 
5.2%
26 1230
 
4.7%
Other values (19) 3106
 
11.9%
ValueCountFrequency (%)
0 4
 
< 0.1%
13 1
 
< 0.1%
16 6
 
< 0.1%
17 4
 
< 0.1%
18 5
 
< 0.1%
19 29
 
0.1%
20 22
 
0.1%
21 31
 
0.1%
22 41
 
0.2%
23 178
0.7%
ValueCountFrequency (%)
42 12
 
< 0.1%
41 17
 
0.1%
40 36
 
0.1%
39 88
 
0.3%
38 91
 
0.3%
37 188
 
0.7%
36 172
 
0.7%
35 1048
4.0%
34 2497
9.5%
33 1133
4.3%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3421
Distinct (%)13.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean222.95466
Minimum0
Maximum359.9
Zeros36
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.577953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.4
Q1128.075
median250.5
Q3320
95-th percentile343.5
Maximum359.9
Range359.9
Interquartile range (IQR)191.925

Descriptive statistics

Standard deviation105.19216
Coefficient of variation (CV)0.47180964
Kurtosis-1.1179873
Mean222.95466
Median Absolute Deviation (MAD)78.3
Skewness-0.49429144
Sum5835169.4
Variance11065.39
MonotonicityNot monotonic
2025-05-05T17:44:24.658650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
227.4 130
 
0.5%
331.2 119
 
0.5%
300 105
 
0.4%
313.8 101
 
0.4%
32.4 101
 
0.4%
335.1 100
 
0.4%
325.6 93
 
0.4%
326 93
 
0.4%
128.9 87
 
0.3%
314 87
 
0.3%
Other values (3411) 25156
96.0%
ValueCountFrequency (%)
0 36
0.1%
0.3 5
 
< 0.1%
1 11
 
< 0.1%
1.3 14
 
0.1%
1.8 2
 
< 0.1%
2 5
 
< 0.1%
2.3 18
0.1%
2.6 1
 
< 0.1%
2.7 14
 
0.1%
3 18
0.1%
ValueCountFrequency (%)
359.9 22
0.1%
359.8 1
 
< 0.1%
359.7 1
 
< 0.1%
359.6 29
0.1%
359.4 1
 
< 0.1%
359.2 6
 
< 0.1%
358.8 13
 
< 0.1%
358.7 1
 
< 0.1%
358.5 1
 
< 0.1%
358.4 34
0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct155
Distinct (%)0.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.533566
Minimum0
Maximum19.2
Zeros1020
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.739288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q110.1
median12.5
Q315.7
95-th percentile16.7
Maximum19.2
Range19.2
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.9930573
Coefficient of variation (CV)0.43291529
Kurtosis0.15032189
Mean11.533566
Median Absolute Deviation (MAD)2.8
Skewness-1.0974133
Sum301856.5
Variance24.930621
MonotonicityNot monotonic
2025-05-05T17:44:24.822048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2849
 
10.9%
15.7 1633
 
6.2%
15.8 1622
 
6.2%
10.2 1384
 
5.3%
15.9 1154
 
4.4%
0 1020
 
3.9%
15.6 648
 
2.5%
10.3 526
 
2.0%
16 490
 
1.9%
15.5 355
 
1.4%
Other values (145) 14491
55.3%
ValueCountFrequency (%)
0 1020
3.9%
0.1 168
 
0.6%
0.2 127
 
0.5%
0.3 92
 
0.4%
0.4 59
 
0.2%
0.5 50
 
0.2%
0.6 59
 
0.2%
0.7 40
 
0.2%
0.8 54
 
0.2%
0.9 42
 
0.2%
ValueCountFrequency (%)
19.2 1
 
< 0.1%
18.5 1
 
< 0.1%
17.9 3
 
< 0.1%
17.8 7
 
< 0.1%
17.7 8
 
< 0.1%
17.6 10
 
< 0.1%
17.5 26
 
0.1%
17.4 46
0.2%
17.3 62
0.2%
17.2 112
0.4%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct137
Distinct (%)0.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.516399
Minimum0
Maximum6553.5
Zeros1918
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:24.902143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.6
median9.9
Q312.6
95-th percentile15.3
Maximum6553.5
Range6553.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation81.033433
Coefficient of variation (CV)7.7054352
Kurtosis6495.0882
Mean10.516399
Median Absolute Deviation (MAD)2.1
Skewness80.464817
Sum275235.2
Variance6566.4172
MonotonicityNot monotonic
2025-05-05T17:44:24.977977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4919
 
18.8%
9.8 1974
 
7.5%
0 1918
 
7.3%
10 791
 
3.0%
11.9 785
 
3.0%
9.7 752
 
2.9%
11.8 738
 
2.8%
15.4 682
 
2.6%
15.3 483
 
1.8%
15.5 445
 
1.7%
Other values (127) 12685
48.4%
ValueCountFrequency (%)
0 1918
7.3%
0.1 74
 
0.3%
0.2 69
 
0.3%
0.3 69
 
0.3%
0.4 71
 
0.3%
0.5 76
 
0.3%
0.6 111
 
0.4%
0.7 89
 
0.3%
0.8 115
 
0.4%
0.9 97
 
0.4%
ValueCountFrequency (%)
6553.5 4
 
< 0.1%
15.6 60
 
0.2%
15.5 445
1.7%
15.4 682
2.6%
15.3 483
1.8%
15.2 300
1.1%
15.1 298
1.1%
15 351
1.3%
14.9 369
1.4%
14.8 306
1.2%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.471764
Minimum0
Maximum15.7
Zeros1449
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.054885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10.6
Q314.9
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation4.8132968
Coefficient of variation (CV)0.45964528
Kurtosis-0.10148902
Mean10.471764
Median Absolute Deviation (MAD)3.1
Skewness-0.95307492
Sum274067
Variance23.167826
MonotonicityNot monotonic
2025-05-05T17:44:25.135193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5473
20.9%
15.6 4318
 
16.5%
0 1449
 
5.5%
15.5 743
 
2.8%
10.1 607
 
2.3%
10.2 454
 
1.7%
15.4 421
 
1.6%
9.9 344
 
1.3%
10.3 316
 
1.2%
10.4 287
 
1.1%
Other values (148) 11760
44.9%
ValueCountFrequency (%)
0 1449
5.5%
0.1 133
 
0.5%
0.2 88
 
0.3%
0.3 63
 
0.2%
0.4 45
 
0.2%
0.5 52
 
0.2%
0.6 61
 
0.2%
0.7 55
 
0.2%
0.8 60
 
0.2%
0.9 60
 
0.2%
ValueCountFrequency (%)
15.7 5
 
< 0.1%
15.6 4318
16.5%
15.5 743
 
2.8%
15.4 421
 
1.6%
15.3 263
 
1.0%
15.2 259
 
1.0%
15.1 212
 
0.8%
15 195
 
0.7%
14.9 144
 
0.5%
14.8 177
 
0.7%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct67
Distinct (%)0.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.44071145
Minimum0
Maximum7.4
Zeros8076
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.214665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.6
95-th percentile1.4
Maximum7.4
Range7.4
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.7029263
Coefficient of variation (CV)1.5949808
Kurtosis18.017582
Mean0.44071145
Median Absolute Deviation (MAD)0.2
Skewness3.6138173
Sum11534.3
Variance0.49410538
MonotonicityNot monotonic
2025-05-05T17:44:25.292381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8076
30.8%
0.1 3362
12.8%
0.2 2490
 
9.5%
0.3 2181
 
8.3%
0.4 1696
 
6.5%
0.5 1402
 
5.3%
0.6 1124
 
4.3%
0.7 1066
 
4.1%
0.8 902
 
3.4%
0.9 803
 
3.1%
Other values (57) 3070
 
11.7%
ValueCountFrequency (%)
0 8076
30.8%
0.1 3362
12.8%
0.2 2490
 
9.5%
0.3 2181
 
8.3%
0.4 1696
 
6.5%
0.5 1402
 
5.3%
0.6 1124
 
4.3%
0.7 1066
 
4.1%
0.8 902
 
3.4%
0.9 803
 
3.1%
ValueCountFrequency (%)
7.4 3
< 0.1%
7.1 2
 
< 0.1%
7 4
< 0.1%
6.9 5
< 0.1%
6.8 3
< 0.1%
6.7 5
< 0.1%
6.6 3
< 0.1%
6.5 2
 
< 0.1%
6.4 2
 
< 0.1%
6.3 5
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct358
Distinct (%)1.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean9.5669227
Minimum0
Maximum39.1
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.503858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q15.4
median8.3
Q312.2
95-th percentile20.5
Maximum39.1
Range39.1
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation5.6159462
Coefficient of variation (CV)0.587017
Kurtosis1.9535163
Mean9.5669227
Median Absolute Deviation (MAD)3.2
Skewness1.2950708
Sum250385.5
Variance31.538852
MonotonicityNot monotonic
2025-05-05T17:44:25.582875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.2 275
 
1.0%
6.3 266
 
1.0%
3.8 262
 
1.0%
8.1 262
 
1.0%
3.7 260
 
1.0%
7.5 254
 
1.0%
5.1 254
 
1.0%
7.1 252
 
1.0%
7 252
 
1.0%
3.9 248
 
0.9%
Other values (348) 23587
90.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
1 5
 
< 0.1%
1.1 1
 
< 0.1%
1.2 5
 
< 0.1%
1.3 17
0.1%
1.4 13
< 0.1%
1.5 17
0.1%
1.6 29
0.1%
ValueCountFrequency (%)
39.1 1
< 0.1%
38.3 1
< 0.1%
38.2 1
< 0.1%
37.9 1
< 0.1%
37.7 1
< 0.1%
37.4 1
< 0.1%
37.2 1
< 0.1%
36.9 2
< 0.1%
36.7 2
< 0.1%
36.6 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Skewed 

Distinct178
Distinct (%)0.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5.0454914
Minimum0
Maximum6553.5
Zeros32
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.661540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q12
median3.5
Q35.5
95-th percentile9.1
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation81.009341
Coefficient of variation (CV)16.055788
Kurtosis6524.6083
Mean5.0454914
Median Absolute Deviation (MAD)1.7
Skewness80.73912
Sum132050.6
Variance6562.5133
MonotonicityNot monotonic
2025-05-05T17:44:25.737972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 500
 
1.9%
3.2 498
 
1.9%
3.7 497
 
1.9%
3.6 484
 
1.8%
3.4 483
 
1.8%
3.5 471
 
1.8%
1.3 464
 
1.8%
4 461
 
1.8%
3 454
 
1.7%
2.9 448
 
1.7%
Other values (168) 21412
81.7%
ValueCountFrequency (%)
0 32
 
0.1%
0.3 372
1.4%
0.4 296
1.1%
0.5 217
0.8%
0.6 265
1.0%
0.7 307
1.2%
0.8 315
1.2%
0.9 351
1.3%
1 361
1.4%
1.1 418
1.6%
ValueCountFrequency (%)
6553.5 4
< 0.1%
18.5 1
 
< 0.1%
18.3 1
 
< 0.1%
18.2 1
 
< 0.1%
18 1
 
< 0.1%
17.9 1
 
< 0.1%
17.8 1
 
< 0.1%
17.7 1
 
< 0.1%
17.5 1
 
< 0.1%
17.3 3
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct279
Distinct (%)1.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean6.7102552
Minimum0
Maximum29
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.816183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q13.7
median5.7
Q38.7
95-th percentile15.1
Maximum29
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2105925
Coefficient of variation (CV)0.62748619
Kurtosis2.3964204
Mean6.7102552
Median Absolute Deviation (MAD)2.3
Skewness1.4026001
Sum175620.8
Variance17.729089
MonotonicityNot monotonic
2025-05-05T17:44:25.892841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 424
 
1.6%
4.1 413
 
1.6%
3.9 401
 
1.5%
4.3 387
 
1.5%
4.4 376
 
1.4%
4.5 370
 
1.4%
4.2 362
 
1.4%
4.7 358
 
1.4%
4.8 356
 
1.4%
3.8 351
 
1.3%
Other values (269) 22374
85.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
0.3 1
 
< 0.1%
0.4 3
 
< 0.1%
0.5 9
 
< 0.1%
0.6 20
 
0.1%
0.7 23
 
0.1%
0.8 36
 
0.1%
0.9 43
0.2%
1 82
0.3%
1.1 90
0.3%
ValueCountFrequency (%)
29 1
< 0.1%
28.9 1
< 0.1%
28.6 1
< 0.1%
28.5 1
< 0.1%
28.1 1
< 0.1%
27.8 2
< 0.1%
27.7 1
< 0.1%
27.6 1
< 0.1%
27.5 1
< 0.1%
27.3 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct47
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.86761042
Minimum0
Maximum4.6
Zeros43
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:25.967925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.1
95-th percentile2
Maximum4.6
Range4.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.58840169
Coefficient of variation (CV)0.67818652
Kurtosis2.8734446
Mean0.86761042
Median Absolute Deviation (MAD)0.3
Skewness1.4543355
Sum22707.1
Variance0.34621655
MonotonicityNot monotonic
2025-05-05T17:44:26.041014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.5 2615
 
10.0%
0.6 2539
 
9.7%
0.7 2288
 
8.7%
0.4 2209
 
8.4%
0.3 2049
 
7.8%
0.8 1864
 
7.1%
0.2 1652
 
6.3%
0.9 1529
 
5.8%
1 1339
 
5.1%
1.1 1175
 
4.5%
Other values (37) 6913
26.4%
ValueCountFrequency (%)
0 43
 
0.2%
0.1 510
 
1.9%
0.2 1652
6.3%
0.3 2049
7.8%
0.4 2209
8.4%
0.5 2615
10.0%
0.6 2539
9.7%
0.7 2288
8.7%
0.8 1864
7.1%
0.9 1529
5.8%
ValueCountFrequency (%)
4.6 4
 
< 0.1%
4.5 3
 
< 0.1%
4.4 2
 
< 0.1%
4.3 1
 
< 0.1%
4.2 1
 
< 0.1%
4.1 4
 
< 0.1%
4 5
 
< 0.1%
3.9 5
 
< 0.1%
3.8 13
< 0.1%
3.7 13
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1858
Distinct (%)7.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-3.7553187
Minimum-180
Maximum178.1
Zeros157
Zeros (%)0.6%
Negative22141
Negative (%)84.5%
Memory size1.4 MiB
2025-05-05T17:44:26.114459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-180
5-th percentile-28.045
Q1-4.9
median-3.1
Q3-1.3
95-th percentile13.1
Maximum178.1
Range358.1
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation24.065535
Coefficient of variation (CV)-6.408387
Kurtosis22.523745
Mean-3.7553187
Median Absolute Deviation (MAD)1.8
Skewness-0.14113146
Sum-98284.2
Variance579.14999
MonotonicityNot monotonic
2025-05-05T17:44:26.191463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.2 470
 
1.8%
-2.8 453
 
1.7%
-3 423
 
1.6%
-3.1 421
 
1.6%
-2.5 415
 
1.6%
-2.6 413
 
1.6%
-2.3 406
 
1.5%
-3.6 402
 
1.5%
-3.4 398
 
1.5%
-2.9 397
 
1.5%
Other values (1848) 21974
83.8%
ValueCountFrequency (%)
-180 1
< 0.1%
-179.8 1
< 0.1%
-179.7 2
< 0.1%
-179.5 1
< 0.1%
-179.3 1
< 0.1%
-178.9 1
< 0.1%
-178 1
< 0.1%
-177.9 1
< 0.1%
-177 1
< 0.1%
-176.8 1
< 0.1%
ValueCountFrequency (%)
178.1 1
< 0.1%
177.9 1
< 0.1%
177.6 1
< 0.1%
177.4 1
< 0.1%
176.6 2
< 0.1%
176.5 1
< 0.1%
176.3 1
< 0.1%
176 1
< 0.1%
175.9 1
< 0.1%
175 2
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3568
Distinct (%)13.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean222.25671
Minimum0
Maximum359.9
Zeros7
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:26.265877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.8
Q1127.5
median253.55
Q3318.025
95-th percentile343.3
Maximum359.9
Range359.9
Interquartile range (IQR)190.525

Descriptive statistics

Standard deviation105.56549
Coefficient of variation (CV)0.47497098
Kurtosis-1.1026563
Mean222.25671
Median Absolute Deviation (MAD)75.55
Skewness-0.51142489
Sum5816902.5
Variance11144.072
MonotonicityNot monotonic
2025-05-05T17:44:26.346543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325.6 40
 
0.2%
326.7 37
 
0.1%
319.1 36
 
0.1%
313.5 35
 
0.1%
326.4 34
 
0.1%
317.5 34
 
0.1%
323.2 33
 
0.1%
323.1 33
 
0.1%
318.8 32
 
0.1%
327.8 32
 
0.1%
Other values (3558) 25826
98.5%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 7
< 0.1%
0.1 5
< 0.1%
0.2 6
< 0.1%
0.3 6
< 0.1%
0.4 4
< 0.1%
0.5 3
< 0.1%
0.6 2
 
< 0.1%
0.7 6
< 0.1%
0.8 6
< 0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
359.9 14
0.1%
359.8 6
< 0.1%
359.7 5
 
< 0.1%
359.6 8
< 0.1%
359.5 3
 
< 0.1%
359.4 8
< 0.1%
359.3 5
 
< 0.1%
359.2 13
< 0.1%
359.1 6
< 0.1%
359 7
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.175073
Minimum0
Maximum31
Zeros58
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:26.419121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q315
95-th percentile23
Maximum31
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8470299
Coefficient of variation (CV)0.52322075
Kurtosis0.35620383
Mean11.175073
Median Absolute Deviation (MAD)4
Skewness0.87986239
Sum292474
Variance34.187758
MonotonicityNot monotonic
2025-05-05T17:44:26.482626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7 2700
 
10.3%
8 2350
 
9.0%
6 2226
 
8.5%
5 1929
 
7.4%
9 1738
 
6.6%
14 1601
 
6.1%
11 1385
 
5.3%
13 1366
 
5.2%
10 1285
 
4.9%
12 1169
 
4.5%
Other values (22) 8423
32.1%
ValueCountFrequency (%)
0 58
 
0.2%
1 71
 
0.3%
2 255
 
1.0%
3 448
 
1.7%
4 971
 
3.7%
5 1929
7.4%
6 2226
8.5%
7 2700
10.3%
8 2350
9.0%
9 1738
6.6%
ValueCountFrequency (%)
31 7
 
< 0.1%
30 60
 
0.2%
29 139
0.5%
28 141
0.5%
27 188
0.7%
26 203
0.8%
25 228
0.9%
24 175
0.7%
23 202
0.8%
22 256
1.0%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:26.545777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:26.578683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.80781
Minimum0
Maximum58
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:26.618974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q133
median37
Q341
95-th percentile50
Maximum58
Range58
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6730871
Coefficient of variation (CV)0.15005067
Kurtosis0.27159774
Mean37.80781
Median Absolute Deviation (MAD)4
Skewness0.67949426
Sum989506
Variance32.183917
MonotonicityNot monotonic
2025-05-05T17:44:26.680904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35 2137
 
8.2%
36 2051
 
7.8%
32 2012
 
7.7%
31 1719
 
6.6%
34 1699
 
6.5%
40 1601
 
6.1%
39 1529
 
5.8%
37 1515
 
5.8%
41 1501
 
5.7%
33 1497
 
5.7%
Other values (21) 8911
34.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
29 347
 
1.3%
30 1123
4.3%
31 1719
6.6%
32 2012
7.7%
33 1497
5.7%
34 1699
6.5%
35 2137
8.2%
36 2051
7.8%
37 1515
5.8%
ValueCountFrequency (%)
58 4
 
< 0.1%
57 20
 
0.1%
56 30
 
0.1%
55 31
 
0.1%
54 31
 
0.1%
53 60
 
0.2%
52 288
1.1%
51 435
1.7%
50 483
1.8%
49 362
1.4%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.146531
Minimum0
Maximum59
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:26.744431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median36
Q341
95-th percentile51
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.2910417
Coefficient of variation (CV)0.16935745
Kurtosis0.14772362
Mean37.146531
Median Absolute Deviation (MAD)4
Skewness0.83043238
Sum972199
Variance39.577206
MonotonicityNot monotonic
2025-05-05T17:44:26.809487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
31 2645
 
10.1%
32 2429
 
9.3%
33 2162
 
8.2%
34 1823
 
7.0%
30 1562
 
6.0%
35 1361
 
5.2%
39 1317
 
5.0%
40 1230
 
4.7%
38 1215
 
4.6%
37 1208
 
4.6%
Other values (23) 9220
35.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
28 1
 
< 0.1%
29 1010
 
3.9%
30 1562
6.0%
31 2645
10.1%
32 2429
9.3%
33 2162
8.2%
34 1823
7.0%
35 1361
5.2%
36 1200
4.6%
ValueCountFrequency (%)
59 6
 
< 0.1%
58 16
 
0.1%
57 31
 
0.1%
56 28
 
0.1%
55 23
 
0.1%
54 56
 
0.2%
53 262
1.0%
52 452
1.7%
51 501
1.9%
50 328
1.3%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean38.047111
Minimum0
Maximum58
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.007021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q133
median37
Q342
95-th percentile50
Maximum58
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.6017136
Coefficient of variation (CV)0.14723098
Kurtosis0.28382365
Mean38.047111
Median Absolute Deviation (MAD)4
Skewness0.79380356
Sum995769
Variance31.379195
MonotonicityNot monotonic
2025-05-05T17:44:27.070747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
33 3342
12.8%
34 2873
 
11.0%
32 2099
 
8.0%
35 1880
 
7.2%
40 1477
 
5.6%
39 1455
 
5.6%
36 1408
 
5.4%
41 1337
 
5.1%
37 1244
 
4.7%
38 1243
 
4.7%
Other values (21) 7814
29.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
29 82
 
0.3%
30 157
 
0.6%
31 996
 
3.8%
32 2099
8.0%
33 3342
12.8%
34 2873
11.0%
35 1880
7.2%
36 1408
5.4%
37 1244
 
4.7%
ValueCountFrequency (%)
58 8
 
< 0.1%
57 19
 
0.1%
56 33
 
0.1%
55 32
 
0.1%
54 42
 
0.2%
53 55
 
0.2%
52 314
1.2%
51 472
1.8%
50 516
2.0%
49 369
1.4%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.924652
Minimum0
Maximum58
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.133422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median36
Q342
95-th percentile50
Maximum58
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.9367259
Coefficient of variation (CV)0.15654002
Kurtosis0.11296655
Mean37.924652
Median Absolute Deviation (MAD)4
Skewness0.77538354
Sum992564
Variance35.244714
MonotonicityNot monotonic
2025-05-05T17:44:27.198863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
33 2976
 
11.4%
32 2793
 
10.7%
34 2282
 
8.7%
35 1631
 
6.2%
31 1476
 
5.6%
39 1324
 
5.1%
40 1301
 
5.0%
36 1300
 
5.0%
41 1250
 
4.8%
38 1238
 
4.7%
Other values (21) 8601
32.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
29 160
 
0.6%
30 490
 
1.9%
31 1476
5.6%
32 2793
10.7%
33 2976
11.4%
34 2282
8.7%
35 1631
6.2%
36 1300
5.0%
37 1179
 
4.5%
ValueCountFrequency (%)
58 14
 
0.1%
57 24
 
0.1%
56 37
 
0.1%
55 28
 
0.1%
54 56
 
0.2%
53 146
 
0.6%
52 449
1.7%
51 489
1.9%
50 432
1.6%
49 328
1.3%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct12656
Distinct (%)48.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean773.96021
Minimum-22.9
Maximum3001.2
Zeros2
Zeros (%)< 0.1%
Negative4746
Negative (%)18.1%
Memory size1.4 MiB
2025-05-05T17:44:27.271428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-22.9
5-th percentile-16.2
Q162.9
median350.8
Q31209.725
95-th percentile2933.99
Maximum3001.2
Range3024.1
Interquartile range (IQR)1146.825

Descriptive statistics

Standard deviation930.26721
Coefficient of variation (CV)1.2019574
Kurtosis0.12769401
Mean773.96021
Median Absolute Deviation (MAD)362.8
Skewness1.1946899
Sum20256087
Variance865397.09
MonotonicityNot monotonic
2025-05-05T17:44:27.350168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16 277
 
1.1%
-16.1 237
 
0.9%
-16.2 234
 
0.9%
-16.3 207
 
0.8%
-15.8 190
 
0.7%
-15.9 186
 
0.7%
-16.4 179
 
0.7%
-16.5 162
 
0.6%
-16.6 149
 
0.6%
-15.7 132
 
0.5%
Other values (12646) 24219
92.4%
ValueCountFrequency (%)
-22.9 1
< 0.1%
-21.2 1
< 0.1%
-21.1 1
< 0.1%
-20.5 2
< 0.1%
-19.9 1
< 0.1%
-19.8 1
< 0.1%
-19.6 1
< 0.1%
-19.4 1
< 0.1%
-19.2 1
< 0.1%
-19.1 2
< 0.1%
ValueCountFrequency (%)
3001.2 1
 
< 0.1%
3000.7 2
 
< 0.1%
3000.6 24
 
0.1%
3000.5 62
0.2%
3000.4 105
0.4%
3000.3 93
0.4%
3000.2 42
 
0.2%
3000.1 34
 
0.1%
3000 33
 
0.1%
2999.9 18
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.92806434
Minimum0
Maximum1
Zeros73
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.413558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.15956945
Coefficient of variation (CV)0.17193792
Kurtosis10.237865
Mean0.92806434
Median Absolute Deviation (MAD)0
Skewness-2.9702238
Sum24289.3
Variance0.02546241
MonotonicityNot monotonic
2025-05-05T17:44:27.463571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 19934
76.1%
0.8 3073
 
11.7%
0.7 1475
 
5.6%
0.9 475
 
1.8%
0.6 248
 
0.9%
0.5 227
 
0.9%
0.4 193
 
0.7%
0.3 177
 
0.7%
0.1 151
 
0.6%
0.2 146
 
0.6%
ValueCountFrequency (%)
0 73
 
0.3%
0.1 151
 
0.6%
0.2 146
 
0.6%
0.3 177
 
0.7%
0.4 193
 
0.7%
0.5 227
 
0.9%
0.6 248
 
0.9%
0.7 1475
5.6%
0.8 3073
11.7%
0.9 475
 
1.8%
ValueCountFrequency (%)
1 19934
76.1%
0.9 475
 
1.8%
0.8 3073
 
11.7%
0.7 1475
 
5.6%
0.6 248
 
0.9%
0.5 227
 
0.9%
0.4 193
 
0.7%
0.3 177
 
0.7%
0.2 146
 
0.6%
0.1 151
 
0.6%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
50.0
26025 
49.9
 
139
50.1
 
5
0.0
 
3

Length

Max length4
Median length4
Mean length3.9998854
Min length3

Characters and Unicode

Total characters104685
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26025
99.3%
49.9 139
 
0.5%
50.1 5
 
< 0.1%
0.0 3
 
< 0.1%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:27.521780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:27.563007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26025
99.4%
49.9 139
 
0.5%
50.1 5
 
< 0.1%
0.0 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52061
49.7%
. 26172
25.0%
5 26030
24.9%
9 278
 
0.3%
4 139
 
0.1%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104685
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52061
49.7%
. 26172
25.0%
5 26030
24.9%
9 278
 
0.3%
4 139
 
0.1%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104685
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52061
49.7%
. 26172
25.0%
5 26030
24.9%
9 278
 
0.3%
4 139
 
0.1%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104685
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52061
49.7%
. 26172
25.0%
5 26030
24.9%
9 278
 
0.3%
4 139
 
0.1%
1 5
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct377
Distinct (%)1.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean573.64066
Minimum0
Maximum600.6
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.621665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564.9
Q1569.3
median573.5
Q3577.4
95-th percentile583.8
Maximum600.6
Range600.6
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation8.5209748
Coefficient of variation (CV)0.014854203
Kurtosis2352.9291
Mean573.64066
Median Absolute Deviation (MAD)4.1
Skewness-34.765245
Sum15013323
Variance72.607011
MonotonicityNot monotonic
2025-05-05T17:44:27.700501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573 216
 
0.8%
574.1 202
 
0.8%
575.3 191
 
0.7%
574.3 187
 
0.7%
572.9 187
 
0.7%
576.8 186
 
0.7%
574.9 185
 
0.7%
576.9 184
 
0.7%
574 183
 
0.7%
574.7 183
 
0.7%
Other values (367) 24268
92.6%
ValueCountFrequency (%)
0 3
 
< 0.1%
561.4 1
 
< 0.1%
561.5 2
 
< 0.1%
561.7 3
 
< 0.1%
561.8 4
 
< 0.1%
561.9 6
 
< 0.1%
562 9
< 0.1%
562.1 4
 
< 0.1%
562.2 16
0.1%
562.3 9
< 0.1%
ValueCountFrequency (%)
600.6 1
 
< 0.1%
600.3 1
 
< 0.1%
600.2 3
< 0.1%
599.9 1
 
< 0.1%
599.7 1
 
< 0.1%
599.5 1
 
< 0.1%
599.4 2
< 0.1%
599.3 1
 
< 0.1%
599.2 2
< 0.1%
599 2
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct386
Distinct (%)1.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean572.0071
Minimum0
Maximum599.1
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.780188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile563.4
Q1567.8
median571.7
Q3575.8
95-th percentile582
Maximum599.1
Range599.1
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.4456881
Coefficient of variation (CV)0.014765006
Kurtosis2410.3114
Mean572.0071
Median Absolute Deviation (MAD)4
Skewness-35.420709
Sum14970570
Variance71.329648
MonotonicityNot monotonic
2025-05-05T17:44:27.860482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
575.7 195
 
0.7%
567.7 192
 
0.7%
570.1 191
 
0.7%
570.6 191
 
0.7%
571 190
 
0.7%
569.1 184
 
0.7%
569.3 183
 
0.7%
571.7 179
 
0.7%
574.8 179
 
0.7%
569 178
 
0.7%
Other values (376) 24310
92.8%
ValueCountFrequency (%)
0 3
 
< 0.1%
558.3 1
 
< 0.1%
558.4 2
 
< 0.1%
558.5 1
 
< 0.1%
558.9 1
 
< 0.1%
559 2
 
< 0.1%
559.1 1
 
< 0.1%
559.2 8
< 0.1%
559.3 4
< 0.1%
559.4 3
 
< 0.1%
ValueCountFrequency (%)
599.1 1
< 0.1%
598.9 1
< 0.1%
598.7 1
< 0.1%
598.3 1
< 0.1%
598.2 1
< 0.1%
598.1 1
< 0.1%
598 2
< 0.1%
597.9 1
< 0.1%
597.8 2
< 0.1%
597.4 1
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct402
Distinct (%)1.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean570.53399
Minimum0
Maximum598.3
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:27.939554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile561.6
Q1566.2
median570.4
Q3574.4
95-th percentile580.8
Maximum598.3
Range598.3
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation8.5488968
Coefficient of variation (CV)0.014984027
Kurtosis2272.3569
Mean570.53399
Median Absolute Deviation (MAD)4.1
Skewness-33.892284
Sum14932016
Variance73.083637
MonotonicityNot monotonic
2025-05-05T17:44:28.017537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
572 222
 
0.8%
571.5 187
 
0.7%
571.9 186
 
0.7%
573 184
 
0.7%
570.2 183
 
0.7%
571.8 181
 
0.7%
570.3 179
 
0.7%
572.9 178
 
0.7%
572.4 178
 
0.7%
569.2 178
 
0.7%
Other values (392) 24316
92.8%
ValueCountFrequency (%)
0 3
< 0.1%
554.5 2
< 0.1%
554.8 1
 
< 0.1%
555.2 1
 
< 0.1%
555.3 1
 
< 0.1%
555.4 1
 
< 0.1%
555.6 1
 
< 0.1%
556 1
 
< 0.1%
556.1 1
 
< 0.1%
556.2 2
< 0.1%
ValueCountFrequency (%)
598.3 1
 
< 0.1%
597.7 2
< 0.1%
597.4 1
 
< 0.1%
597.3 1
 
< 0.1%
597 1
 
< 0.1%
596.8 1
 
< 0.1%
596.6 1
 
< 0.1%
596.3 3
< 0.1%
596.2 2
< 0.1%
596 2
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9971
Distinct (%)38.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean446.2484
Minimum0
Maximum1768.9
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:28.096932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.7
Q134.3
median197.6
Q3685.125
95-th percentile1694.19
Maximum1768.9
Range1768.9
Interquartile range (IQR)650.825

Descriptive statistics

Standard deviation533.72654
Coefficient of variation (CV)1.1960302
Kurtosis0.20163016
Mean446.2484
Median Absolute Deviation (MAD)184.1
Skewness1.2301276
Sum11679213
Variance284864.02
MonotonicityNot monotonic
2025-05-05T17:44:28.175971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.4 286
 
1.1%
13.5 282
 
1.1%
12.8 235
 
0.9%
12.5 227
 
0.9%
13.7 202
 
0.8%
12.6 169
 
0.6%
12.7 166
 
0.6%
13.6 160
 
0.6%
12.4 136
 
0.5%
11.8 123
 
0.5%
Other values (9961) 24186
92.3%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 45
0.2%
1.1 13
 
< 0.1%
1.2 11
 
< 0.1%
1.3 9
 
< 0.1%
1.4 8
 
< 0.1%
1.5 12
 
< 0.1%
1.6 7
 
< 0.1%
1.7 9
 
< 0.1%
1.8 9
 
< 0.1%
ValueCountFrequency (%)
1768.9 1
< 0.1%
1767.2 1
< 0.1%
1766.7 1
< 0.1%
1765.5 1
< 0.1%
1764.7 2
< 0.1%
1764.6 1
< 0.1%
1764.5 1
< 0.1%
1764.4 1
< 0.1%
1764.1 1
< 0.1%
1763.8 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10055
Distinct (%)38.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean458.54611
Minimum0
Maximum1812
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:28.254853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.8
Q137.075
median203.8
Q3712.05
95-th percentile1725.435
Maximum1812
Range1812
Interquartile range (IQR)674.975

Descriptive statistics

Standard deviation544.60473
Coefficient of variation (CV)1.1876771
Kurtosis0.15405025
Mean458.54611
Median Absolute Deviation (MAD)191.1
Skewness1.2104804
Sum12001069
Variance296594.31
MonotonicityNot monotonic
2025-05-05T17:44:28.332940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.7 529
 
2.0%
11.8 271
 
1.0%
1 218
 
0.8%
11.7 214
 
0.8%
12.8 178
 
0.7%
11.5 176
 
0.7%
12.5 168
 
0.6%
12.6 141
 
0.5%
12.4 126
 
0.5%
12.3 117
 
0.4%
Other values (10045) 24034
91.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 218
0.8%
1.1 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 1
 
< 0.1%
1.4 1
 
< 0.1%
1.7 3
 
< 0.1%
1.8 1
 
< 0.1%
2 1
 
< 0.1%
2.1 2
 
< 0.1%
ValueCountFrequency (%)
1812 1
< 0.1%
1808.2 1
< 0.1%
1805.4 1
< 0.1%
1802.5 1
< 0.1%
1802.2 1
< 0.1%
1800.6 2
< 0.1%
1799.9 1
< 0.1%
1799.7 1
< 0.1%
1798.8 1
< 0.1%
1798.6 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10131
Distinct (%)38.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean459.32541
Minimum0
Maximum1790
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:28.412091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.3
Q143.1
median209.5
Q3710.125
95-th percentile1714.045
Maximum1790
Range1790
Interquartile range (IQR)667.025

Descriptive statistics

Standard deviation540.06417
Coefficient of variation (CV)1.1757768
Kurtosis0.15161563
Mean459.32541
Median Absolute Deviation (MAD)197.7
Skewness1.2064558
Sum12021465
Variance291669.31
MonotonicityNot monotonic
2025-05-05T17:44:28.627980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.7 574
 
2.2%
11.8 299
 
1.1%
10.8 255
 
1.0%
10.7 233
 
0.9%
11.6 164
 
0.6%
11.5 162
 
0.6%
9 135
 
0.5%
8.9 128
 
0.5%
10.9 122
 
0.5%
11.9 120
 
0.5%
Other values (10121) 23980
91.5%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 62
0.2%
1.1 24
 
0.1%
1.2 29
0.1%
1.3 9
 
< 0.1%
1.4 6
 
< 0.1%
1.5 7
 
< 0.1%
1.6 9
 
< 0.1%
1.7 10
 
< 0.1%
1.8 11
 
< 0.1%
ValueCountFrequency (%)
1790 1
< 0.1%
1789.9 1
< 0.1%
1788.6 1
< 0.1%
1788.1 1
< 0.1%
1788 1
< 0.1%
1787.5 1
< 0.1%
1787.1 1
< 0.1%
1786.9 1
< 0.1%
1786.7 1
< 0.1%
1785.9 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct13201
Distinct (%)50.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1033.7851
Minimum-3276.8
Maximum3188.4
Zeros1
Zeros (%)< 0.1%
Negative4307
Negative (%)16.4%
Memory size1.4 MiB
2025-05-05T17:44:28.705357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.6
Q1168.25
median595.55
Q31724.975
95-th percentile3152.2
Maximum3188.4
Range6465.2
Interquartile range (IQR)1556.725

Descriptive statistics

Standard deviation1076.1695
Coefficient of variation (CV)1.0409992
Kurtosis-0.62910768
Mean1033.7851
Median Absolute Deviation (MAD)595.65
Skewness0.86806434
Sum27056224
Variance1158140.7
MonotonicityNot monotonic
2025-05-05T17:44:28.781882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.6 239
 
0.9%
-11.7 229
 
0.9%
-11.5 211
 
0.8%
-11.8 186
 
0.7%
-11.9 170
 
0.6%
-11.2 163
 
0.6%
-11 147
 
0.6%
-12 145
 
0.6%
-11.3 142
 
0.5%
-11.1 139
 
0.5%
Other values (13191) 24401
93.1%
ValueCountFrequency (%)
-3276.8 3
< 0.1%
-16.4 1
 
< 0.1%
-15.3 1
 
< 0.1%
-15.2 2
< 0.1%
-14.5 1
 
< 0.1%
-14.3 2
< 0.1%
-13.8 2
< 0.1%
-13.7 1
 
< 0.1%
-13.6 2
< 0.1%
-13.5 3
< 0.1%
ValueCountFrequency (%)
3188.4 1
< 0.1%
3170.9 2
< 0.1%
3170.6 1
< 0.1%
3170.1 1
< 0.1%
3169.8 1
< 0.1%
3169.6 2
< 0.1%
3169.5 1
< 0.1%
3169 2
< 0.1%
3168.7 2
< 0.1%
3168.4 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct11165
Distinct (%)42.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean484.88872
Minimum-102.3
Maximum3276.7
Zeros4
Zeros (%)< 0.1%
Negative7792
Negative (%)29.7%
Memory size1.4 MiB
2025-05-05T17:44:28.860160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.3
5-th percentile-35.4
Q1-26.2
median148.45
Q3650.375
95-th percentile2184.29
Maximum3276.7
Range3379
Interquartile range (IQR)676.575

Descriptive statistics

Standard deviation735.05527
Coefficient of variation (CV)1.5159257
Kurtosis1.9919612
Mean484.88872
Median Absolute Deviation (MAD)178.85
Skewness1.6924093
Sum12690508
Variance540306.25
MonotonicityNot monotonic
2025-05-05T17:44:28.935962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-30.1 265
 
1.0%
-30.3 240
 
0.9%
-30 240
 
0.9%
-30.2 233
 
0.9%
-29.9 231
 
0.9%
-29.7 228
 
0.9%
-29.8 228
 
0.9%
-30.4 215
 
0.8%
-30.5 203
 
0.8%
-29.6 199
 
0.8%
Other values (11155) 23890
91.2%
ValueCountFrequency (%)
-102.3 2
< 0.1%
-102.2 2
< 0.1%
-101.9 1
< 0.1%
-101.8 1
< 0.1%
-101.7 1
< 0.1%
-101.6 1
< 0.1%
-101.5 1
< 0.1%
-101.3 2
< 0.1%
-101.1 2
< 0.1%
-101 1
< 0.1%
ValueCountFrequency (%)
3276.7 3
< 0.1%
2994 1
 
< 0.1%
2993.9 1
 
< 0.1%
2993.6 1
 
< 0.1%
2993.4 1
 
< 0.1%
2993.2 1
 
< 0.1%
2993 2
< 0.1%
2992.7 1
 
< 0.1%
2992.6 1
 
< 0.1%
2992.5 1
 
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.119441
Minimum0
Maximum49
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:29.003016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q129
median31
Q333
95-th percentile38
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5569496
Coefficient of variation (CV)0.11429992
Kurtosis1.5397007
Mean31.119441
Median Absolute Deviation (MAD)2
Skewness0.43764932
Sum814458
Variance12.651891
MonotonicityNot monotonic
2025-05-05T17:44:29.067270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
32 3381
12.9%
30 3318
12.7%
31 3012
11.5%
33 2533
9.7%
29 2381
9.1%
28 2019
7.7%
34 1887
7.2%
27 1398
 
5.3%
26 1261
 
4.8%
25 1047
 
4.0%
Other values (18) 3935
15.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
23 1
 
< 0.1%
24 237
 
0.9%
25 1047
 
4.0%
26 1261
 
4.8%
27 1398
5.3%
28 2019
7.7%
29 2381
9.1%
30 3318
12.7%
31 3012
11.5%
ValueCountFrequency (%)
49 1
 
< 0.1%
48 10
 
< 0.1%
47 7
 
< 0.1%
46 21
 
0.1%
45 9
 
< 0.1%
44 25
 
0.1%
43 70
 
0.3%
42 48
 
0.2%
41 80
 
0.3%
40 222
0.8%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4220
Distinct (%)16.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean111.33153
Minimum0
Maximum1505.4
Zeros19
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:29.137862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q120.875
median69.3
Q3168.8
95-th percentile340.245
Maximum1505.4
Range1505.4
Interquartile range (IQR)147.925

Descriptive statistics

Standard deviation124.2106
Coefficient of variation (CV)1.1156822
Kurtosis16.356483
Mean111.33153
Median Absolute Deviation (MAD)62.4
Skewness2.6387248
Sum2913768.7
Variance15428.273
MonotonicityNot monotonic
2025-05-05T17:44:29.215397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2 881
 
3.4%
3.3 700
 
2.7%
3.1 664
 
2.5%
3.4 392
 
1.5%
3 306
 
1.2%
3.8 266
 
1.0%
3.7 235
 
0.9%
3.5 189
 
0.7%
3.6 156
 
0.6%
3.9 151
 
0.6%
Other values (4210) 22232
84.8%
ValueCountFrequency (%)
0 19
 
0.1%
0.1 52
0.2%
0.2 30
0.1%
0.3 44
0.2%
0.4 17
 
0.1%
0.5 32
0.1%
0.6 29
0.1%
0.7 6
 
< 0.1%
0.8 3
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1505.4 1
< 0.1%
1500.3 1
< 0.1%
1499.3 1
< 0.1%
1487.3 1
< 0.1%
1481.2 1
< 0.1%
1474.5 1
< 0.1%
1471.2 1
< 0.1%
1462.2 1
< 0.1%
1456.4 1
< 0.1%
1443.6 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct295
Distinct (%)1.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-1.7338835
Minimum-22.5
Maximum13.8
Zeros19360
Zeros (%)73.9%
Negative4670
Negative (%)17.8%
Memory size1.4 MiB
2025-05-05T17:44:29.293141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-22.5
5-th percentile-12.7
Q10
median0
Q30
95-th percentile1.1
Maximum13.8
Range36.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5078912
Coefficient of variation (CV)-2.5998812
Kurtosis1.7837811
Mean-1.7338835
Median Absolute Deviation (MAD)0
Skewness-1.7170325
Sum-45379.2
Variance20.321083
MonotonicityNot monotonic
2025-05-05T17:44:29.370340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19360
73.9%
0.7 218
 
0.8%
0.6 208
 
0.8%
1.6 147
 
0.6%
0.8 119
 
0.5%
0.5 114
 
0.4%
-13.2 108
 
0.4%
-12.9 103
 
0.4%
-10.5 102
 
0.4%
-13 101
 
0.4%
Other values (285) 5592
 
21.3%
ValueCountFrequency (%)
-22.5 1
< 0.1%
-21.6 1
< 0.1%
-21.5 1
< 0.1%
-21.4 1
< 0.1%
-20.4 1
< 0.1%
-20.3 1
< 0.1%
-20.2 1
< 0.1%
-19.8 1
< 0.1%
-18.6 1
< 0.1%
-18.2 1
< 0.1%
ValueCountFrequency (%)
13.8 1
 
< 0.1%
13.7 1
 
< 0.1%
13.5 1
 
< 0.1%
12.4 1
 
< 0.1%
12 4
< 0.1%
11.8 1
 
< 0.1%
11.7 2
< 0.1%
11.5 1
 
< 0.1%
11.3 1
 
< 0.1%
11 1
 
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct300
Distinct (%)1.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.9509705
Minimum-21.3
Maximum46.6
Zeros24
Zeros (%)0.1%
Negative3916
Negative (%)14.9%
Memory size1.4 MiB
2025-05-05T17:44:29.445938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-21.3
5-th percentile-11.7
Q10.2
median0.5
Q30.8
95-th percentile31
Maximum46.6
Range67.9
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation10.609238
Coefficient of variation (CV)5.4379284
Kurtosis3.3250615
Mean1.9509705
Median Absolute Deviation (MAD)0.3
Skewness1.848292
Sum51060.8
Variance112.55593
MonotonicityNot monotonic
2025-05-05T17:44:29.524294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 3738
14.3%
0.2 3041
 
11.6%
0.7 2312
 
8.8%
0.5 2233
 
8.5%
0.4 1777
 
6.8%
0.8 1455
 
5.6%
0.3 1428
 
5.4%
0.9 831
 
3.2%
0.1 822
 
3.1%
1 471
 
1.8%
Other values (290) 8064
30.8%
ValueCountFrequency (%)
-21.3 1
< 0.1%
-20.9 1
< 0.1%
-19.8 1
< 0.1%
-19.7 1
< 0.1%
-19.6 1
< 0.1%
-19.5 1
< 0.1%
-16.3 1
< 0.1%
-16.2 1
< 0.1%
-16.1 1
< 0.1%
-16 1
< 0.1%
ValueCountFrequency (%)
46.6 2
< 0.1%
46.5 1
< 0.1%
45.4 1
< 0.1%
45.2 1
< 0.1%
44.5 2
< 0.1%
44.4 1
< 0.1%
43.5 1
< 0.1%
43 1
< 0.1%
36.3 2
< 0.1%
36.1 2
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct326
Distinct (%)1.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-4.3853546
Minimum-57.9
Maximum1.6
Zeros30
Zeros (%)0.1%
Negative25935
Negative (%)99.0%
Memory size1.4 MiB
2025-05-05T17:44:29.603955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-57.9
5-th percentile-18.3
Q1-1.5
median-0.7
Q3-0.5
95-th percentile-0.3
Maximum1.6
Range59.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.1921594
Coefficient of variation (CV)-1.6400406
Kurtosis1.1541781
Mean-4.3853546
Median Absolute Deviation (MAD)0.3
Skewness-1.5833822
Sum-114773.5
Variance51.727157
MonotonicityNot monotonic
2025-05-05T17:44:29.683688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 4229
16.1%
-0.3 3068
11.7%
-0.6 2822
 
10.8%
-0.4 2232
 
8.5%
-0.8 2086
 
8.0%
-0.5 1818
 
6.9%
-0.9 1306
 
5.0%
-1 832
 
3.2%
-1.1 457
 
1.7%
-1.2 258
 
1.0%
Other values (316) 7064
27.0%
ValueCountFrequency (%)
-57.9 1
< 0.1%
-49 1
< 0.1%
-47.9 1
< 0.1%
-47.7 1
< 0.1%
-41.8 1
< 0.1%
-40.2 1
< 0.1%
-39.6 1
< 0.1%
-39 1
< 0.1%
-38 1
< 0.1%
-36.8 1
< 0.1%
ValueCountFrequency (%)
1.6 23
 
0.1%
1.5 160
0.6%
1.4 10
 
< 0.1%
1.3 6
 
< 0.1%
1.2 1
 
< 0.1%
1.1 1
 
< 0.1%
1 1
 
< 0.1%
0.3 3
 
< 0.1%
0.2 1
 
< 0.1%
0.1 1
 
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct201
Distinct (%)0.8%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.1678817
Minimum0
Maximum20.9
Zeros10697
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:29.763125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.6
95-th percentile10
Maximum20.9
Range20.9
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation3.2143395
Coefficient of variation (CV)2.7522817
Kurtosis11.355484
Mean1.1678817
Median Absolute Deviation (MAD)0.1
Skewness3.4387712
Sum30565.8
Variance10.331978
MonotonicityNot monotonic
2025-05-05T17:44:29.838831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10697
40.8%
0.1 7228
27.6%
0.2 1518
 
5.8%
0.6 1244
 
4.7%
0.7 653
 
2.5%
1.1 415
 
1.6%
1 398
 
1.5%
0.8 386
 
1.5%
0.9 271
 
1.0%
0.3 98
 
0.4%
Other values (191) 3264
 
12.5%
ValueCountFrequency (%)
0 10697
40.8%
0.1 7228
27.6%
0.2 1518
 
5.8%
0.3 98
 
0.4%
0.4 13
 
< 0.1%
0.5 29
 
0.1%
0.6 1244
 
4.7%
0.7 653
 
2.5%
0.8 386
 
1.5%
0.9 271
 
1.0%
ValueCountFrequency (%)
20.9 2
< 0.1%
20.7 1
 
< 0.1%
20.6 1
 
< 0.1%
20.4 1
 
< 0.1%
20.2 2
< 0.1%
20.1 1
 
< 0.1%
19.8 2
< 0.1%
19.6 1
 
< 0.1%
19.5 2
< 0.1%
19.2 3
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2912
Distinct (%)11.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean805.7573
Minimum0
Maximum3001
Zeros3459
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:30.048317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median371
Q31274
95-th percentile2967
Maximum3001
Range3001
Interquartile range (IQR)1197

Descriptive statistics

Standard deviation943.75998
Coefficient of variation (CV)1.1712708
Kurtosis0.012835751
Mean805.7573
Median Absolute Deviation (MAD)362
Skewness1.160292
Sum21088280
Variance890682.9
MonotonicityNot monotonic
2025-05-05T17:44:30.125442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3459
 
13.2%
3000 515
 
2.0%
2999 163
 
0.6%
25 115
 
0.4%
26 101
 
0.4%
24 96
 
0.4%
23 89
 
0.3%
2998 85
 
0.3%
27 61
 
0.2%
57 60
 
0.2%
Other values (2902) 21428
81.8%
ValueCountFrequency (%)
0 3459
13.2%
1 41
 
0.2%
2 26
 
0.1%
3 25
 
0.1%
4 44
 
0.2%
5 41
 
0.2%
6 37
 
0.1%
7 39
 
0.1%
8 30
 
0.1%
9 43
 
0.2%
ValueCountFrequency (%)
3001 2
 
< 0.1%
3000 515
2.0%
2999 163
 
0.6%
2998 85
 
0.3%
2997 60
 
0.2%
2996 37
 
0.1%
2995 31
 
0.1%
2994 49
 
0.2%
2993 26
 
0.1%
2992 34
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3043
Distinct (%)11.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1071.2139
Minimum0
Maximum3150
Zeros3396
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:30.204278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1187
median633
Q31815.25
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1628.25

Descriptive statistics

Standard deviation1080.556
Coefficient of variation (CV)1.0087211
Kurtosis-0.74912146
Mean1071.2139
Median Absolute Deviation (MAD)574
Skewness0.83313999
Sum28035809
Variance1167601.4
MonotonicityNot monotonic
2025-05-05T17:44:30.280176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3396
 
13.0%
3150 2243
 
8.6%
3000 187
 
0.7%
25 79
 
0.3%
26 72
 
0.3%
24 67
 
0.3%
23 47
 
0.2%
57 42
 
0.2%
211 39
 
0.1%
181 38
 
0.1%
Other values (3033) 19962
76.2%
ValueCountFrequency (%)
0 3396
13.0%
4 1
 
< 0.1%
5 1
 
< 0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
19 2
 
< 0.1%
21 1
 
< 0.1%
22 6
 
< 0.1%
ValueCountFrequency (%)
3150 2243
8.6%
3149 3
 
< 0.1%
3148 3
 
< 0.1%
3147 3
 
< 0.1%
3146 1
 
< 0.1%
3145 16
 
0.1%
3144 2
 
< 0.1%
3143 4
 
< 0.1%
3142 2
 
< 0.1%
3141 2
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2828
Distinct (%)10.8%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean511.50374
Minimum-100
Maximum3000
Zeros3879
Zeros (%)14.8%
Negative2813
Negative (%)10.7%
Memory size1.4 MiB
2025-05-05T17:44:30.355275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-33
Q10
median164
Q3679
95-th percentile2230.45
Maximum3000
Range3100
Interquartile range (IQR)679

Descriptive statistics

Standard deviation748.23911
Coefficient of variation (CV)1.4628223
Kurtosis1.9520514
Mean511.50374
Median Absolute Deviation (MAD)164
Skewness1.6864747
Sum13387076
Variance559861.76
MonotonicityNot monotonic
2025-05-05T17:44:30.433554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3879
 
14.8%
-100 493
 
1.9%
3000 204
 
0.8%
25 116
 
0.4%
24 110
 
0.4%
26 109
 
0.4%
23 92
 
0.4%
28 65
 
0.2%
-12 63
 
0.2%
57 63
 
0.2%
Other values (2818) 20978
80.0%
ValueCountFrequency (%)
-100 493
1.9%
-99 9
 
< 0.1%
-98 4
 
< 0.1%
-97 4
 
< 0.1%
-96 5
 
< 0.1%
-95 6
 
< 0.1%
-94 3
 
< 0.1%
-93 3
 
< 0.1%
-92 6
 
< 0.1%
-91 6
 
< 0.1%
ValueCountFrequency (%)
3000 204
0.8%
2998 2
 
< 0.1%
2997 4
 
< 0.1%
2996 3
 
< 0.1%
2995 1
 
< 0.1%
2994 2
 
< 0.1%
2993 4
 
< 0.1%
2992 2
 
< 0.1%
2991 3
 
< 0.1%
2990 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct616
Distinct (%)2.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean110.12651
Minimum0
Maximum1167
Zeros3888
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:30.509776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median71
Q3170
95-th percentile338.45
Maximum1167
Range1167
Interquartile range (IQR)148

Descriptive statistics

Standard deviation114.45066
Coefficient of variation (CV)1.0392653
Kurtosis2.17126
Mean110.12651
Median Absolute Deviation (MAD)62
Skewness1.4090504
Sum2882231
Variance13098.954
MonotonicityNot monotonic
2025-05-05T17:44:30.590317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3888
 
14.8%
28 183
 
0.7%
27 181
 
0.7%
24 177
 
0.7%
29 173
 
0.7%
16 167
 
0.6%
31 166
 
0.6%
13 165
 
0.6%
35 164
 
0.6%
30 163
 
0.6%
Other values (606) 20745
79.2%
ValueCountFrequency (%)
0 3888
14.8%
1 109
 
0.4%
2 45
 
0.2%
3 37
 
0.1%
4 52
 
0.2%
5 64
 
0.2%
6 97
 
0.4%
7 87
 
0.3%
8 111
 
0.4%
9 114
 
0.4%
ValueCountFrequency (%)
1167 1
< 0.1%
957 1
< 0.1%
762 1
< 0.1%
759 1
< 0.1%
750 1
< 0.1%
741 1
< 0.1%
731 1
< 0.1%
728 1
< 0.1%
727 1
< 0.1%
713 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:30.655948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:30.690300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:30.730351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:30.763210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:30.804568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:30.837771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:30.876280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:30.910952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:30.949649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:30.982566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.022805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.055821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.094402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.128982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.168200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.201334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct6
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2994.0717
Minimum0
Maximum3000
Zeros50
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:31.231453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation131.4073
Coefficient of variation (CV)0.043889161
Kurtosis512.84281
Mean2994.0717
Median Absolute Deviation (MAD)0
Skewness-22.668588
Sum78360845
Variance17267.878
MonotonicityNot monotonic
2025-05-05T17:44:31.277633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3000 26069
99.5%
0 50
 
0.2%
2955 27
 
0.1%
2910 23
 
0.1%
2865 2
 
< 0.1%
1400 1
 
< 0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 50
 
0.2%
1400 1
 
< 0.1%
2865 2
 
< 0.1%
2910 23
 
0.1%
2955 27
 
0.1%
3000 26069
99.5%
ValueCountFrequency (%)
3000 26069
99.5%
2955 27
 
0.1%
2910 23
 
0.1%
2865 2
 
< 0.1%
1400 1
 
< 0.1%
0 50
 
0.2%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
11.0
26148 
0.0
 
24

Length

Max length4
Median length4
Mean length3.999083
Min length3

Characters and Unicode

Total characters104664
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26148
99.8%
0.0 24
 
0.1%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.335810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.374167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26148
99.9%
0.0 24
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
0.0
26172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.416435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.449416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52344
66.7%
. 26172
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
1.0
26148 
0.0
 
24

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78516
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26148
99.8%
0.0 24
 
0.1%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.490128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.525548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26148
99.9%
0.0 24
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 26196
33.4%
. 26172
33.3%
1 26148
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26196
33.4%
. 26172
33.3%
1 26148
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26196
33.4%
. 26172
33.3%
1 26148
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26196
33.4%
. 26172
33.3%
1 26148
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.5 MiB
11.0
26148 
0.0
 
24

Length

Max length4
Median length4
Mean length3.999083
Min length3

Characters and Unicode

Total characters104664
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26148
99.8%
0.0 24
 
0.1%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:31.569194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:31.607997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26148
99.9%
0.0 24
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104664
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52296
50.0%
0 26196
25.0%
. 26172
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean21.777625
Minimum0
Maximum41
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:31.652247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q118
median21
Q326
95-th percentile31
Maximum41
Range41
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2514103
Coefficient of variation (CV)0.24113788
Kurtosis0.31196162
Mean21.777625
Median Absolute Deviation (MAD)4
Skewness0.64500096
Sum569964
Variance27.57731
MonotonicityNot monotonic
2025-05-05T17:44:31.716743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 2542
 
9.7%
19 2527
 
9.6%
20 1921
 
7.3%
17 1867
 
7.1%
21 1768
 
6.7%
26 1741
 
6.6%
27 1567
 
6.0%
16 1493
 
5.7%
25 1388
 
5.3%
22 1299
 
5.0%
Other values (22) 8059
30.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
11 71
 
0.3%
12 213
 
0.8%
13 321
 
1.2%
14 762
 
2.9%
15 823
 
3.1%
16 1493
5.7%
17 1867
7.1%
18 2542
9.7%
19 2527
9.6%
ValueCountFrequency (%)
41 39
 
0.1%
40 34
 
0.1%
39 53
 
0.2%
38 78
 
0.3%
37 72
 
0.3%
36 131
0.5%
35 159
0.6%
34 238
0.9%
33 162
0.6%
32 210
0.8%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean29.033242
Minimum0
Maximum43
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:31.777466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q125
median28
Q333
95-th percentile37
Maximum43
Range43
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.8207132
Coefficient of variation (CV)0.16604116
Kurtosis-0.8708338
Mean29.033242
Median Absolute Deviation (MAD)4
Skewness0.31762243
Sum759858
Variance23.239276
MonotonicityNot monotonic
2025-05-05T17:44:31.839694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
25 3264
12.5%
24 2481
 
9.5%
26 2232
 
8.5%
23 1925
 
7.3%
30 1596
 
6.1%
36 1496
 
5.7%
32 1467
 
5.6%
35 1425
 
5.4%
34 1347
 
5.1%
31 1336
 
5.1%
Other values (17) 7603
29.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
18 3
 
< 0.1%
19 10
 
< 0.1%
20 32
 
0.1%
21 178
 
0.7%
22 719
 
2.7%
23 1925
7.3%
24 2481
9.5%
25 3264
12.5%
26 2232
8.5%
ValueCountFrequency (%)
43 10
 
< 0.1%
42 10
 
< 0.1%
41 65
 
0.2%
40 128
 
0.5%
39 252
 
1.0%
38 248
 
0.9%
37 1160
4.4%
36 1496
5.7%
35 1425
5.4%
34 1347
5.1%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean22.845675
Minimum0
Maximum42
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:31.901798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q120
median22
Q325
95-th percentile32
Maximum42
Range42
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3118107
Coefficient of variation (CV)0.18873641
Kurtosis2.2155821
Mean22.845675
Median Absolute Deviation (MAD)2
Skewness1.362622
Sum597917
Variance18.591711
MonotonicityNot monotonic
2025-05-05T17:44:31.965559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19 3647
13.9%
21 3286
12.5%
20 3014
11.5%
22 2609
10.0%
23 2472
9.4%
18 1951
7.4%
24 1884
7.2%
25 1648
6.3%
26 1035
 
3.9%
27 907
 
3.5%
Other values (21) 3719
14.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
13 3
 
< 0.1%
14 7
 
< 0.1%
15 8
 
< 0.1%
16 25
 
0.1%
17 326
 
1.2%
18 1951
7.4%
19 3647
13.9%
20 3014
11.5%
21 3286
12.5%
ValueCountFrequency (%)
42 19
 
0.1%
41 40
 
0.2%
40 51
 
0.2%
39 59
 
0.2%
38 79
 
0.3%
37 73
 
0.3%
36 106
 
0.4%
35 231
0.9%
34 225
0.9%
33 290
1.1%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean39.433517
Minimum0
Maximum55
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:32.024658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q134
median39
Q344
95-th percentile48
Maximum55
Range55
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.5507817
Coefficient of variation (CV)0.14076304
Kurtosis-0.75921459
Mean39.433517
Median Absolute Deviation (MAD)5
Skewness0.058020803
Sum1032054
Variance30.811177
MonotonicityNot monotonic
2025-05-05T17:44:32.225718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33 2221
 
8.5%
34 1984
 
7.6%
46 1720
 
6.6%
43 1566
 
6.0%
42 1462
 
5.6%
40 1439
 
5.5%
32 1389
 
5.3%
38 1378
 
5.3%
47 1362
 
5.2%
45 1329
 
5.1%
Other values (18) 10322
39.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
29 27
 
0.1%
30 480
 
1.8%
31 933
3.6%
32 1389
5.3%
33 2221
8.5%
34 1984
7.6%
35 1292
4.9%
36 1066
4.1%
37 1123
4.3%
ValueCountFrequency (%)
55 12
 
< 0.1%
54 9
 
< 0.1%
53 29
 
0.1%
52 51
 
0.2%
51 152
 
0.6%
50 256
 
1.0%
49 388
 
1.5%
48 815
3.1%
47 1362
5.2%
46 1720
6.6%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)0.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean77.298334
Minimum0
Maximum125
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:32.299430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q169
median80
Q389
95-th percentile112
Maximum125
Range125
Interquartile range (IQR)20

Descriptive statistics

Standard deviation21.168849
Coefficient of variation (CV)0.27385905
Kurtosis-0.046473519
Mean77.298334
Median Absolute Deviation (MAD)10
Skewness-0.42795788
Sum2023052
Variance448.12016
MonotonicityNot monotonic
2025-05-05T17:44:32.377458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 813
 
3.1%
78 795
 
3.0%
76 762
 
2.9%
79 725
 
2.8%
81 725
 
2.8%
80 715
 
2.7%
75 703
 
2.7%
87 690
 
2.6%
86 686
 
2.6%
74 680
 
2.6%
Other values (91) 18878
72.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
26 2
 
< 0.1%
27 24
 
0.1%
28 96
0.4%
29 121
0.5%
30 172
0.7%
31 180
0.7%
32 223
0.9%
33 217
0.8%
34 197
0.8%
ValueCountFrequency (%)
125 13
 
< 0.1%
124 26
 
0.1%
123 65
0.2%
122 94
0.4%
121 87
0.3%
120 120
0.5%
119 69
0.3%
118 84
0.3%
117 95
0.4%
116 149
0.6%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean36.053722
Minimum0
Maximum54
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:32.446852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median35
Q339
95-th percentile45
Maximum54
Range54
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.772628
Coefficient of variation (CV)0.13237546
Kurtosis0.30525212
Mean36.053722
Median Absolute Deviation (MAD)4
Skewness0.59421906
Sum943598
Variance22.777978
MonotonicityNot monotonic
2025-05-05T17:44:32.515311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
32 4159
15.9%
31 3291
12.6%
39 2812
10.7%
38 2276
8.7%
33 2114
8.1%
40 1851
 
7.1%
37 1371
 
5.2%
34 1213
 
4.6%
30 1108
 
4.2%
35 968
 
3.7%
Other values (24) 5009
19.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
22 4
 
< 0.1%
23 8
 
< 0.1%
24 4
 
< 0.1%
25 6
 
< 0.1%
26 8
 
< 0.1%
27 18
 
0.1%
28 93
 
0.4%
29 176
 
0.7%
30 1108
4.2%
ValueCountFrequency (%)
54 2
 
< 0.1%
53 22
 
0.1%
52 43
 
0.2%
51 59
 
0.2%
50 41
 
0.2%
49 33
 
0.1%
48 68
 
0.3%
47 440
1.7%
46 540
2.1%
45 649
2.5%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean15.471687
Minimum0
Maximum37
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:32.580682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q112
median14
Q318
95-th percentile27
Maximum37
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4270884
Coefficient of variation (CV)0.35077547
Kurtosis1.00493
Mean15.471687
Median Absolute Deviation (MAD)3
Skewness1.0437939
Sum404925
Variance29.453289
MonotonicityNot monotonic
2025-05-05T17:44:32.651197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
12 2983
11.4%
11 2473
 
9.4%
13 2242
 
8.6%
16 1969
 
7.5%
10 1878
 
7.2%
14 1769
 
6.7%
15 1717
 
6.6%
17 1513
 
5.8%
18 1316
 
5.0%
9 1136
 
4.3%
Other values (25) 7176
27.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
4 1
 
< 0.1%
5 35
 
0.1%
6 105
 
0.4%
7 262
 
1.0%
8 543
 
2.1%
9 1136
 
4.3%
10 1878
7.2%
11 2473
9.4%
12 2983
11.4%
ValueCountFrequency (%)
37 12
 
< 0.1%
36 47
 
0.2%
35 55
 
0.2%
34 49
 
0.2%
33 62
 
0.2%
32 76
 
0.3%
31 78
 
0.3%
30 196
0.7%
29 213
0.8%
28 256
1.0%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.6 MiB
999.0
26172 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130860
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:32.718138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:32.751142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78516
60.0%
. 26172
 
20.0%
0 26172
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct405
Distinct (%)1.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7.0093459
Minimum-3276.8
Maximum87.9
Zeros301
Zeros (%)1.1%
Negative11206
Negative (%)42.8%
Memory size1.4 MiB
2025-05-05T17:44:32.799988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2.1
Q1-1
median0.6
Q315
95-th percentile24
Maximum87.9
Range3364.7
Interquartile range (IQR)16

Descriptive statistics

Standard deviation43.370048
Coefficient of variation (CV)6.1874602
Kurtosis5021.7134
Mean7.0093459
Median Absolute Deviation (MAD)2.2
Skewness-66.211709
Sum183448.6
Variance1880.9611
MonotonicityNot monotonic
2025-05-05T17:44:32.878940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4092
 
15.6%
0.9 1256
 
4.8%
0.8 705
 
2.7%
-1.3 620
 
2.4%
-1.4 579
 
2.2%
-1.1 571
 
2.2%
0.7 570
 
2.2%
-1.2 554
 
2.1%
-0.8 550
 
2.1%
-0.9 550
 
2.1%
Other values (395) 16125
61.5%
ValueCountFrequency (%)
-3276.8 4
 
< 0.1%
-2.6 19
 
0.1%
-2.5 48
 
0.2%
-2.4 146
 
0.6%
-2.3 296
1.1%
-2.2 408
1.6%
-2.1 471
1.8%
-2 492
1.9%
-1.9 474
1.8%
-1.8 463
1.8%
ValueCountFrequency (%)
87.9 113
0.4%
87.8 204
0.8%
81.1 1
 
< 0.1%
78.1 147
0.6%
78 105
0.4%
77 1
 
< 0.1%
74 1
 
< 0.1%
72.5 1
 
< 0.1%
71.6 1
 
< 0.1%
71.3 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct234
Distinct (%)0.9%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.0920067
Minimum-3
Maximum3276.7
Zeros186
Zeros (%)0.7%
Negative20727
Negative (%)79.1%
Memory size1.4 MiB
2025-05-05T17:44:32.957220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.8
Q3-0.8
95-th percentile20
Maximum3276.7
Range3279.7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.594924
Coefficient of variation (CV)13.775819
Kurtosis5330.7467
Mean3.0920067
Median Absolute Deviation (MAD)0
Skewness69.508557
Sum80924
Variance1814.3275
MonotonicityNot monotonic
2025-05-05T17:44:33.034945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 13171
50.3%
20 3693
 
14.1%
-2.7 1186
 
4.5%
-2.6 739
 
2.8%
-2.5 432
 
1.6%
-2.4 359
 
1.4%
-1.3 321
 
1.2%
-1.2 321
 
1.2%
-1.1 310
 
1.2%
-1 296
 
1.1%
Other values (224) 5344
20.4%
ValueCountFrequency (%)
-3 2
 
< 0.1%
-2.8 13171
50.3%
-2.7 1186
 
4.5%
-2.6 739
 
2.8%
-2.5 432
 
1.6%
-2.4 359
 
1.4%
-2.3 283
 
1.1%
-2.2 204
 
0.8%
-2.1 206
 
0.8%
-2 217
 
0.8%
ValueCountFrequency (%)
3276.7 4
 
< 0.1%
87.9 26
 
0.1%
87.8 170
0.6%
87.7 21
 
0.1%
87.6 4
 
< 0.1%
83.2 1
 
< 0.1%
78 183
0.7%
77.4 2
 
< 0.1%
77.3 19
 
0.1%
76.8 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct373
Distinct (%)1.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.2794131
Minimum-2.7
Maximum87.9
Zeros414
Zeros (%)1.6%
Negative17261
Negative (%)65.9%
Memory size1.4 MiB
2025-05-05T17:44:33.112352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.6
Q1-2.4
median-1.2
Q33.9
95-th percentile20
Maximum87.9
Range90.6
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation13.573083
Coefficient of variation (CV)3.171716
Kurtosis18.808951
Mean4.2794131
Median Absolute Deviation (MAD)1.3
Skewness3.8653817
Sum112000.8
Variance184.22858
MonotonicityNot monotonic
2025-05-05T17:44:33.191663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3679
 
14.0%
-2.5 3533
 
13.5%
-2.4 1614
 
6.2%
-2.6 1337
 
5.1%
-2.3 929
 
3.5%
-2.2 727
 
2.8%
-2.1 672
 
2.6%
-1.9 605
 
2.3%
-1.8 598
 
2.3%
-1.7 566
 
2.2%
Other values (363) 11912
45.5%
ValueCountFrequency (%)
-2.7 187
 
0.7%
-2.6 1337
 
5.1%
-2.5 3533
13.5%
-2.4 1614
6.2%
-2.3 929
 
3.5%
-2.2 727
 
2.8%
-2.1 672
 
2.6%
-2 534
 
2.0%
-1.9 605
 
2.3%
-1.8 598
 
2.3%
ValueCountFrequency (%)
87.9 26
 
0.1%
87.8 186
0.7%
87.7 30
 
0.1%
87.6 2
 
< 0.1%
87.4 1
 
< 0.1%
87.3 1
 
< 0.1%
87.2 1
 
< 0.1%
86.9 1
 
< 0.1%
85.8 1
 
< 0.1%
85.6 2
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct203
Distinct (%)0.8%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.0676181
Minimum0
Maximum44.9
Zeros4619
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:33.269952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.3
Q30.8
95-th percentile4.2
Maximum44.9
Range44.9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.6437998
Coefficient of variation (CV)2.4763536
Kurtosis85.11159
Mean1.0676181
Median Absolute Deviation (MAD)0.3
Skewness7.6236958
Sum27941.7
Variance6.9896774
MonotonicityNot monotonic
2025-05-05T17:44:33.344202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4619
17.6%
0.1 3707
14.1%
0.2 2807
10.7%
0.3 2215
 
8.5%
0.4 1999
 
7.6%
0.5 1725
 
6.6%
0.6 1303
 
5.0%
0.7 874
 
3.3%
0.8 613
 
2.3%
0.9 430
 
1.6%
Other values (193) 5880
22.4%
ValueCountFrequency (%)
0 4619
17.6%
0.1 3707
14.1%
0.2 2807
10.7%
0.3 2215
8.5%
0.4 1999
7.6%
0.5 1725
 
6.6%
0.6 1303
 
5.0%
0.7 874
 
3.3%
0.8 613
 
2.3%
0.9 430
 
1.6%
ValueCountFrequency (%)
44.9 1
< 0.1%
43.9 1
< 0.1%
43.8 1
< 0.1%
43 1
< 0.1%
42.7 1
< 0.1%
42.4 1
< 0.1%
42.3 1
< 0.1%
41.5 1
< 0.1%
41.2 1
< 0.1%
40.9 1
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct62
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean57.652033
Minimum0
Maximum96
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:33.419051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q149
median54
Q364
95-th percentile83
Maximum96
Range96
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.875901
Coefficient of variation (CV)0.20599276
Kurtosis0.36705308
Mean57.652033
Median Absolute Deviation (MAD)6
Skewness1.0654719
Sum1508869
Variance141.03703
MonotonicityNot monotonic
2025-05-05T17:44:33.499156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 1633
 
6.2%
50 1537
 
5.9%
52 1415
 
5.4%
49 1413
 
5.4%
46 1397
 
5.3%
54 1367
 
5.2%
53 1262
 
4.8%
51 1150
 
4.4%
47 1059
 
4.0%
45 942
 
3.6%
Other values (52) 12997
49.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
36 4
 
< 0.1%
37 3
 
< 0.1%
38 3
 
< 0.1%
39 2
 
< 0.1%
40 17
 
0.1%
41 21
 
0.1%
42 21
 
0.1%
43 151
 
0.6%
44 844
3.2%
ValueCountFrequency (%)
96 4
 
< 0.1%
95 6
 
< 0.1%
94 54
0.2%
93 61
0.2%
92 78
0.3%
91 85
0.3%
90 92
0.4%
89 94
0.4%
88 92
0.4%
87 104
0.4%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct58
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean63.948456
Minimum0
Maximum95
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:33.714148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53
Q157
median62
Q369
95-th percentile84
Maximum95
Range95
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.6434338
Coefficient of variation (CV)0.1508001
Kurtosis0.54969327
Mean63.948456
Median Absolute Deviation (MAD)6
Skewness0.89281538
Sum1673659
Variance92.995815
MonotonicityNot monotonic
2025-05-05T17:44:33.789679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 1634
 
6.2%
59 1422
 
5.4%
57 1396
 
5.3%
54 1354
 
5.2%
61 1288
 
4.9%
63 1259
 
4.8%
58 1221
 
4.7%
55 1197
 
4.6%
62 1167
 
4.5%
60 1141
 
4.4%
Other values (48) 13093
50.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
39 3
 
< 0.1%
40 5
 
< 0.1%
41 3
 
< 0.1%
42 3
 
< 0.1%
43 2
 
< 0.1%
44 4
 
< 0.1%
45 5
 
< 0.1%
46 17
0.1%
47 24
0.1%
ValueCountFrequency (%)
95 16
 
0.1%
94 58
 
0.2%
93 65
0.2%
92 88
0.3%
91 85
0.3%
90 84
0.3%
89 98
0.4%
88 124
0.5%
87 137
0.5%
86 162
0.6%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean56.293291
Minimum0
Maximum93
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:33.866967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q148
median53
Q363
95-th percentile80
Maximum93
Range93
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.479694
Coefficient of variation (CV)0.20392651
Kurtosis0.37264026
Mean56.293291
Median Absolute Deviation (MAD)6
Skewness1.0414705
Sum1473308
Variance131.78337
MonotonicityNot monotonic
2025-05-05T17:44:33.944543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 1573
 
6.0%
47 1512
 
5.8%
52 1402
 
5.3%
49 1305
 
5.0%
45 1291
 
4.9%
46 1252
 
4.8%
50 1231
 
4.7%
51 1191
 
4.5%
53 1174
 
4.5%
44 1165
 
4.4%
Other values (53) 13076
49.9%
ValueCountFrequency (%)
0 4
 
< 0.1%
32 4
 
< 0.1%
33 4
 
< 0.1%
34 2
 
< 0.1%
35 2
 
< 0.1%
36 3
 
< 0.1%
37 2
 
< 0.1%
38 11
< 0.1%
39 22
0.1%
40 18
0.1%
ValueCountFrequency (%)
93 6
 
< 0.1%
92 26
 
0.1%
91 55
0.2%
90 71
0.3%
89 98
0.4%
88 116
0.4%
87 97
0.4%
86 90
0.3%
85 88
0.3%
84 133
0.5%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean42.024301
Minimum0
Maximum55
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.018900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q140
median42
Q345
95-th percentile48
Maximum55
Range55
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3734855
Coefficient of variation (CV)0.10407039
Kurtosis9.9819291
Mean42.024301
Median Absolute Deviation (MAD)3
Skewness-1.6729858
Sum1099860
Variance19.127376
MonotonicityNot monotonic
2025-05-05T17:44:34.091059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
42 2776
10.6%
41 2512
9.6%
44 2470
9.4%
40 2384
9.1%
43 2344
8.9%
45 2191
8.4%
39 1749
 
6.7%
46 1726
 
6.6%
38 1553
 
5.9%
47 1333
 
5.1%
Other values (39) 5134
19.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
8 1
 
< 0.1%
9 25
0.1%
10 17
0.1%
11 11
< 0.1%
12 7
 
< 0.1%
13 11
< 0.1%
14 7
 
< 0.1%
15 6
 
< 0.1%
16 7
 
< 0.1%
ValueCountFrequency (%)
55 7
 
< 0.1%
54 14
 
0.1%
53 16
 
0.1%
52 49
 
0.2%
51 102
 
0.4%
50 256
 
1.0%
49 510
 
1.9%
48 1203
4.6%
47 1333
5.1%
46 1726
6.6%
Distinct1
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Memory size2.6 MiB
600.0
26172 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130860
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26172
99.9%
(Missing) 36
 
0.1%

Length

2025-05-05T17:44:34.156856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:44:34.189861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26172
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78516
60.0%
6 26172
 
20.0%
. 26172
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78516
60.0%
6 26172
 
20.0%
. 26172
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78516
60.0%
6 26172
 
20.0%
. 26172
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130860
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78516
60.0%
6 26172
 
20.0%
. 26172
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct42
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean599.5611
Minimum0
Maximum600
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.236751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.617676
Coefficient of variation (CV)0.022712742
Kurtosis1468.3973
Mean599.5611
Median Absolute Deviation (MAD)0
Skewness-37.245009
Sum15691713
Variance185.44111
MonotonicityNot monotonic
2025-05-05T17:44:34.307922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
600 26121
99.7%
526 3
 
< 0.1%
528 3
 
< 0.1%
0 3
 
< 0.1%
299 2
 
< 0.1%
556 2
 
< 0.1%
527 2
 
< 0.1%
461 2
 
< 0.1%
571 1
 
< 0.1%
570 1
 
< 0.1%
Other values (32) 32
 
0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 3
< 0.1%
2 1
 
< 0.1%
19 1
 
< 0.1%
21 1
 
< 0.1%
58 1
 
< 0.1%
63 1
 
< 0.1%
66 1
 
< 0.1%
71 1
 
< 0.1%
80 1
 
< 0.1%
86 1
 
< 0.1%
ValueCountFrequency (%)
600 26121
99.7%
596 1
 
< 0.1%
586 1
 
< 0.1%
580 1
 
< 0.1%
573 1
 
< 0.1%
571 1
 
< 0.1%
570 1
 
< 0.1%
568 1
 
< 0.1%
562 1
 
< 0.1%
560 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct43
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean596.58891
Minimum0
Maximum600
Zeros132
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.381102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.122913
Coefficient of variation (CV)0.073958654
Kurtosis173.48956
Mean596.58891
Median Absolute Deviation (MAD)0
Skewness-13.192463
Sum15613925
Variance1946.8315
MonotonicityNot monotonic
2025-05-05T17:44:34.453714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
600 25993
99.2%
0 132
 
0.5%
528 3
 
< 0.1%
540 2
 
< 0.1%
527 2
 
< 0.1%
379 2
 
< 0.1%
556 2
 
< 0.1%
526 1
 
< 0.1%
571 1
 
< 0.1%
570 1
 
< 0.1%
Other values (33) 33
 
0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 132
0.5%
6 1
 
< 0.1%
10 1
 
< 0.1%
35 1
 
< 0.1%
50 1
 
< 0.1%
117 1
 
< 0.1%
118 1
 
< 0.1%
153 1
 
< 0.1%
174 1
 
< 0.1%
175 1
 
< 0.1%
ValueCountFrequency (%)
600 25993
99.2%
595 1
 
< 0.1%
593 1
 
< 0.1%
571 1
 
< 0.1%
570 1
 
< 0.1%
568 1
 
< 0.1%
562 1
 
< 0.1%
560 1
 
< 0.1%
556 2
 
< 0.1%
554 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct63
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean592.239
Minimum0
Maximum600
Zeros310
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.528402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation66.834412
Coefficient of variation (CV)0.11285041
Kurtosis72.910101
Mean592.239
Median Absolute Deviation (MAD)0
Skewness-8.6292637
Sum15500079
Variance4466.8386
MonotonicityNot monotonic
2025-05-05T17:44:34.606434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25799
98.4%
0 310
 
1.2%
6 2
 
< 0.1%
540 2
 
< 0.1%
310 1
 
< 0.1%
4 1
 
< 0.1%
490 1
 
< 0.1%
422 1
 
< 0.1%
410 1
 
< 0.1%
206 1
 
< 0.1%
Other values (53) 53
 
0.2%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 310
1.2%
4 1
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
21 1
 
< 0.1%
26 1
 
< 0.1%
35 1
 
< 0.1%
50 1
 
< 0.1%
75 1
 
< 0.1%
98 1
 
< 0.1%
ValueCountFrequency (%)
600 25799
98.4%
595 1
 
< 0.1%
593 1
 
< 0.1%
587 1
 
< 0.1%
570 1
 
< 0.1%
566 1
 
< 0.1%
562 1
 
< 0.1%
560 1
 
< 0.1%
559 1
 
< 0.1%
551 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct108
Distinct (%)0.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean588.13044
Minimum0
Maximum600
Zeros468
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.683373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation81.98919
Coefficient of variation (CV)0.13940647
Kurtosis46.049499
Mean588.13044
Median Absolute Deviation (MAD)0
Skewness-6.9031228
Sum15392550
Variance6722.2273
MonotonicityNot monotonic
2025-05-05T17:44:34.759776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25589
97.6%
0 468
 
1.8%
394 2
 
< 0.1%
208 2
 
< 0.1%
521 2
 
< 0.1%
154 2
 
< 0.1%
1 2
 
< 0.1%
494 2
 
< 0.1%
165 2
 
< 0.1%
147 2
 
< 0.1%
Other values (98) 99
 
0.4%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 468
1.8%
1 2
 
< 0.1%
18 1
 
< 0.1%
26 1
 
< 0.1%
33 1
 
< 0.1%
35 1
 
< 0.1%
50 1
 
< 0.1%
56 1
 
< 0.1%
76 1
 
< 0.1%
82 1
 
< 0.1%
ValueCountFrequency (%)
600 25589
97.6%
595 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%
572 1
 
< 0.1%
571 1
 
< 0.1%
566 1
 
< 0.1%
564 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct437
Distinct (%)1.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean233.13847
Minimum0
Maximum600
Zeros15608
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.837593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation289.24409
Coefficient of variation (CV)1.2406536
Kurtosis-1.7723476
Mean233.13847
Median Absolute Deviation (MAD)0
Skewness0.45703125
Sum6101700
Variance83662.142
MonotonicityNot monotonic
2025-05-05T17:44:34.916414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15608
59.6%
600 9775
37.3%
139 6
 
< 0.1%
382 6
 
< 0.1%
486 5
 
< 0.1%
379 5
 
< 0.1%
440 5
 
< 0.1%
49 5
 
< 0.1%
454 4
 
< 0.1%
198 4
 
< 0.1%
Other values (427) 749
 
2.9%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 15608
59.6%
1 1
 
< 0.1%
2 1
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
600 9775
37.3%
597 2
 
< 0.1%
596 1
 
< 0.1%
595 1
 
< 0.1%
594 2
 
< 0.1%
592 3
 
< 0.1%
590 1
 
< 0.1%
589 1
 
< 0.1%
588 2
 
< 0.1%
584 3
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct578
Distinct (%)2.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean253.08681
Minimum0
Maximum600
Zeros14087
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:34.994357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation286.80005
Coefficient of variation (CV)1.1332082
Kurtosis-1.851451
Mean253.08681
Median Absolute Deviation (MAD)0
Skewness0.30951585
Sum6623788
Variance82254.271
MonotonicityNot monotonic
2025-05-05T17:44:35.072797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14087
53.8%
600 9585
36.6%
546 19
 
0.1%
533 14
 
0.1%
555 13
 
< 0.1%
564 13
 
< 0.1%
543 12
 
< 0.1%
563 11
 
< 0.1%
572 11
 
< 0.1%
550 11
 
< 0.1%
Other values (568) 2396
 
9.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 14087
53.8%
1 6
 
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
6 4
 
< 0.1%
7 5
 
< 0.1%
9 4
 
< 0.1%
10 5
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
600 9585
36.6%
599 1
 
< 0.1%
598 2
 
< 0.1%
597 5
 
< 0.1%
596 1
 
< 0.1%
595 3
 
< 0.1%
594 1
 
< 0.1%
593 3
 
< 0.1%
592 4
 
< 0.1%
591 2
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct268
Distinct (%)1.0%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean25.06847
Minimum0
Maximum600
Zeros11773
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:35.152113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q337
95-th percentile98
Maximum600
Range600
Interquartile range (IQR)37

Descriptive statistics

Standard deviation37.261568
Coefficient of variation (CV)1.4863918
Kurtosis23.782763
Mean25.06847
Median Absolute Deviation (MAD)14
Skewness3.2510539
Sum656092
Variance1388.4244
MonotonicityNot monotonic
2025-05-05T17:44:35.370035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11773
44.9%
15 479
 
1.8%
14 465
 
1.8%
16 427
 
1.6%
17 423
 
1.6%
13 414
 
1.6%
18 374
 
1.4%
19 368
 
1.4%
12 349
 
1.3%
20 340
 
1.3%
Other values (258) 10760
41.1%
ValueCountFrequency (%)
0 11773
44.9%
1 17
 
0.1%
2 20
 
0.1%
3 21
 
0.1%
4 14
 
0.1%
5 23
 
0.1%
6 11
 
< 0.1%
7 29
 
0.1%
8 24
 
0.1%
9 55
 
0.2%
ValueCountFrequency (%)
600 6
< 0.1%
555 1
 
< 0.1%
461 1
 
< 0.1%
440 1
 
< 0.1%
435 1
 
< 0.1%
423 1
 
< 0.1%
403 1
 
< 0.1%
391 1
 
< 0.1%
383 1
 
< 0.1%
353 2
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct53
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.9673697
Minimum0
Maximum600
Zeros26015
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:35.447332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.768643
Coefficient of variation (CV)13.738983
Kurtosis198.91441
Mean2.9673697
Median Absolute Deviation (MAD)0
Skewness14.085286
Sum77662
Variance1662.0822
MonotonicityNot monotonic
2025-05-05T17:44:35.524439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26015
99.3%
600 103
 
0.4%
221 2
 
< 0.1%
482 2
 
< 0.1%
299 2
 
< 0.1%
398 1
 
< 0.1%
314 1
 
< 0.1%
32 1
 
< 0.1%
484 1
 
< 0.1%
590 1
 
< 0.1%
Other values (43) 43
 
0.2%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 26015
99.3%
2 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
19 1
 
< 0.1%
21 1
 
< 0.1%
32 1
 
< 0.1%
58 1
 
< 0.1%
62 1
 
< 0.1%
63 1
 
< 0.1%
ValueCountFrequency (%)
600 103
0.4%
596 1
 
< 0.1%
594 1
 
< 0.1%
590 1
 
< 0.1%
580 1
 
< 0.1%
565 1
 
< 0.1%
550 1
 
< 0.1%
543 1
 
< 0.1%
540 1
 
< 0.1%
514 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct84
Distinct (%)0.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean592.89248
Minimum0
Maximum600
Zeros267
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:35.601683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.36017
Coefficient of variation (CV)0.10686621
Kurtosis80.278466
Mean592.89248
Median Absolute Deviation (MAD)0
Skewness-9.0252502
Sum15517182
Variance4014.5112
MonotonicityNot monotonic
2025-05-05T17:44:35.678792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25810
98.5%
0 267
 
1.0%
540 4
 
< 0.1%
528 3
 
< 0.1%
541 2
 
< 0.1%
379 2
 
< 0.1%
1 2
 
< 0.1%
527 2
 
< 0.1%
155 2
 
< 0.1%
247 2
 
< 0.1%
Other values (74) 76
 
0.3%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 267
1.0%
1 2
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
10 1
 
< 0.1%
18 1
 
< 0.1%
35 1
 
< 0.1%
50 1
 
< 0.1%
56 1
 
< 0.1%
61 1
 
< 0.1%
ValueCountFrequency (%)
600 25810
98.5%
595 1
 
< 0.1%
593 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%
571 2
 
< 0.1%
570 1
 
< 0.1%
568 1
 
< 0.1%
562 1
 
< 0.1%
560 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct593
Distinct (%)2.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean427.48372
Minimum0
Maximum600
Zeros6282
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:35.756164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)536

Descriptive statistics

Standard deviation260.42703
Coefficient of variation (CV)0.60920923
Kurtosis-1.0314043
Mean427.48372
Median Absolute Deviation (MAD)0
Skewness-0.94167028
Sum11188104
Variance67822.237
MonotonicityNot monotonic
2025-05-05T17:44:35.837007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 17169
65.5%
0 6282
 
24.0%
18 15
 
0.1%
563 12
 
< 0.1%
579 12
 
< 0.1%
573 12
 
< 0.1%
1 12
 
< 0.1%
445 11
 
< 0.1%
479 11
 
< 0.1%
457 11
 
< 0.1%
Other values (583) 2625
 
10.0%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 6282
24.0%
1 12
 
< 0.1%
2 3
 
< 0.1%
3 6
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 6
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
600 17169
65.5%
599 11
 
< 0.1%
598 8
 
< 0.1%
597 9
 
< 0.1%
596 6
 
< 0.1%
595 3
 
< 0.1%
594 6
 
< 0.1%
593 9
 
< 0.1%
592 7
 
< 0.1%
591 8
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct126
Distinct (%)0.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.092886
Minimum0
Maximum600
Zeros25615
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:35.917067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.94719
Coefficient of variation (CV)7.116921
Kurtosis49.696623
Mean11.092886
Median Absolute Deviation (MAD)0
Skewness7.1534249
Sum290323
Variance6232.6588
MonotonicityNot monotonic
2025-05-05T17:44:35.994104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25615
97.7%
600 423
 
1.6%
353 2
 
< 0.1%
556 2
 
< 0.1%
206 2
 
< 0.1%
123 2
 
< 0.1%
299 2
 
< 0.1%
599 2
 
< 0.1%
392 2
 
< 0.1%
446 2
 
< 0.1%
Other values (116) 118
 
0.5%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 25615
97.7%
5 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
28 1
 
< 0.1%
29 1
 
< 0.1%
33 1
 
< 0.1%
36 1
 
< 0.1%
ValueCountFrequency (%)
600 423
1.6%
599 2
 
< 0.1%
596 1
 
< 0.1%
582 1
 
< 0.1%
574 1
 
< 0.1%
567 1
 
< 0.1%
565 1
 
< 0.1%
556 2
 
< 0.1%
554 1
 
< 0.1%
550 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4366
Distinct (%)16.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.904611 × 108
Minimum3.826008 × 108
Maximum3.983256 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:36.070050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.826008 × 108
5-th percentile3.8338918 × 108
Q13.865311 × 108
median3.9045958 × 108
Q33.9438362 × 108
95-th percentile3.975408 × 108
Maximum3.983256 × 108
Range15724800
Interquartile range (IQR)7852520

Descriptive statistics

Standard deviation4538563.8
Coefficient of variation (CV)0.0116236
Kurtosis-1.1989817
Mean3.904611 × 108
Median Absolute Deviation (MAD)3927584
Skewness0.0015969238
Sum1.0219148 × 1013
Variance2.0598562 × 1013
MonotonicityIncreasing
2025-05-05T17:44:36.151751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392914816 6
 
< 0.1%
393084000 6
 
< 0.1%
393080384 6
 
< 0.1%
393076800 6
 
< 0.1%
393073216 6
 
< 0.1%
393069600 6
 
< 0.1%
392417984 6
 
< 0.1%
393120000 6
 
< 0.1%
393116416 6
 
< 0.1%
393055200 6
 
< 0.1%
Other values (4356) 26112
99.6%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
382600800 2
 
< 0.1%
382604416 6
< 0.1%
382608000 6
< 0.1%
382611584 6
< 0.1%
382615200 6
< 0.1%
382618816 6
< 0.1%
382622400 6
< 0.1%
382625984 6
< 0.1%
382629600 6
< 0.1%
382633216 6
< 0.1%
ValueCountFrequency (%)
398325600 4
< 0.1%
398321984 6
< 0.1%
398318400 6
< 0.1%
398314816 6
< 0.1%
398311200 6
< 0.1%
398307584 6
< 0.1%
398304000 6
< 0.1%
398300416 6
< 0.1%
398296800 6
< 0.1%
398293184 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26168
Distinct (%)> 99.9%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.7381467 × 108
Minimum3.6596627 × 108
Maximum3.8166294 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:36.233663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6596627 × 108
5-th percentile3.6674949 × 108
Q13.6988897 × 108
median3.7381424 × 108
Q33.7774348 × 108
95-th percentile3.8087783 × 108
Maximum3.8166294 × 108
Range15696672
Interquartile range (IQR)7854512

Descriptive statistics

Standard deviation4532632.7
Coefficient of variation (CV)0.012125348
Kurtosis-1.2009078
Mean3.7381467 × 108
Median Absolute Deviation (MAD)3927408
Skewness-0.00030952764
Sum9.7834774 × 1012
Variance2.054476 × 1013
MonotonicityIncreasing
2025-05-05T17:44:36.314839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378528992 3
 
< 0.1%
370076256 2
 
< 0.1%
378528032 2
 
< 0.1%
376440128 1
 
< 0.1%
376439520 1
 
< 0.1%
376438944 1
 
< 0.1%
376438336 1
 
< 0.1%
376437728 1
 
< 0.1%
376437120 1
 
< 0.1%
376436544 1
 
< 0.1%
Other values (26158) 26158
99.8%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
365966272 1
< 0.1%
365966848 1
< 0.1%
365967456 1
< 0.1%
365968064 1
< 0.1%
365968672 1
< 0.1%
365969280 1
< 0.1%
365969856 1
< 0.1%
365970464 1
< 0.1%
365971072 1
< 0.1%
365971648 1
< 0.1%
ValueCountFrequency (%)
381662944 1
< 0.1%
381662336 1
< 0.1%
381661760 1
< 0.1%
381661152 1
< 0.1%
381660544 1
< 0.1%
381659968 1
< 0.1%
381659360 1
< 0.1%
381658752 1
< 0.1%
381658144 1
< 0.1%
381657536 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26038
Distinct (%)99.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.6226818 × 108
Minimum3.5447376 × 108
Maximum3.7009203 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:36.396808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.5447376 × 108
5-th percentile3.5524024 × 108
Q13.583594 × 108
median3.6225982 × 108
Q33.6618402 × 108
95-th percentile3.6930698 × 108
Maximum3.7009203 × 108
Range15618272
Interquartile range (IQR)7824624

Descriptive statistics

Standard deviation4512224.7
Coefficient of variation (CV)0.012455482
Kurtosis-1.2016471
Mean3.6226818 × 108
Median Absolute Deviation (MAD)3912464
Skewness0.0031755411
Sum9.4812829 × 1012
Variance2.0360172 × 1013
MonotonicityIncreasing
2025-05-05T17:44:36.479571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
359998464 35
 
0.1%
354689120 26
 
0.1%
357087008 22
 
0.1%
366966272 20
 
0.1%
357335008 14
 
0.1%
367202688 9
 
< 0.1%
363078816 8
 
< 0.1%
359223488 5
 
< 0.1%
358959552 2
 
< 0.1%
358546688 2
 
< 0.1%
Other values (26028) 26029
99.3%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
354473760 1
< 0.1%
354474368 1
< 0.1%
354474944 1
< 0.1%
354475552 1
< 0.1%
354476160 1
< 0.1%
354476768 1
< 0.1%
354477344 1
< 0.1%
354477952 1
< 0.1%
354478560 1
< 0.1%
354479168 1
< 0.1%
ValueCountFrequency (%)
370092032 1
< 0.1%
370091424 1
< 0.1%
370090848 1
< 0.1%
370090240 1
< 0.1%
370089632 1
< 0.1%
370089024 1
< 0.1%
370088448 1
< 0.1%
370087840 1
< 0.1%
370087232 1
< 0.1%
370086624 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25858
Distinct (%)98.8%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.5764443 × 108
Minimum3.4994627 × 108
Maximum3.6545072 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:36.562301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.4994627 × 108
5-th percentile3.506564 × 108
Q13.5377418 × 108
median3.5761909 × 108
Q33.6154319 × 108
95-th percentile3.646656 × 108
Maximum3.6545072 × 108
Range15504448
Interquartile range (IQR)7769008

Descriptive statistics

Standard deviation4490964.5
Coefficient of variation (CV)0.012557065
Kurtosis-1.2015103
Mean3.5764443 × 108
Median Absolute Deviation (MAD)3884656
Skewness0.010090011
Sum9.3602701 × 1012
Variance2.0168762 × 1013
MonotonicityIncreasing
2025-05-05T17:44:36.645938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350022240 50
 
0.2%
354500320 38
 
0.1%
355357760 35
 
0.1%
354358080 27
 
0.1%
350105440 26
 
0.1%
350070496 22
 
0.1%
352503200 22
 
0.1%
362324896 20
 
0.1%
354571424 19
 
0.1%
352751168 14
 
0.1%
Other values (25848) 25899
98.8%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
349946272 1
< 0.1%
349946880 1
< 0.1%
349947488 1
< 0.1%
349948064 1
< 0.1%
349948672 1
< 0.1%
349949280 1
< 0.1%
349949888 1
< 0.1%
349950464 1
< 0.1%
349951072 1
< 0.1%
349951680 1
< 0.1%
ValueCountFrequency (%)
365450720 1
< 0.1%
365450112 1
< 0.1%
365449504 1
< 0.1%
365448928 1
< 0.1%
365448320 1
< 0.1%
365447712 1
< 0.1%
365447104 1
< 0.1%
365446528 1
< 0.1%
365445920 1
< 0.1%
365445312 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25701
Distinct (%)98.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.4643484 × 108
Minimum3.3878093 × 108
Maximum3.5417786 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:36.870677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.3878093 × 108
5-th percentile3.3948843 × 108
Q13.4259089 × 108
median3.4640616 × 108
Q33.5030607 × 108
95-th percentile3.5339416 × 108
Maximum3.5417786 × 108
Range15396928
Interquartile range (IQR)7715184

Descriptive statistics

Standard deviation4458607
Coefficient of variation (CV)0.012869973
Kurtosis-1.2023473
Mean3.4643484 × 108
Median Absolute Deviation (MAD)3858672
Skewness0.0070389592
Sum9.0668927 × 1012
Variance1.9879177 × 1013
MonotonicityIncreasing
2025-05-05T17:44:36.952218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338856384 51
 
0.2%
343312608 40
 
0.2%
344168192 35
 
0.1%
345910560 34
 
0.1%
343170528 27
 
0.1%
338938048 26
 
0.1%
349914752 25
 
0.1%
338903936 23
 
0.1%
341335232 22
 
0.1%
352024384 21
 
0.1%
Other values (25691) 25868
98.7%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
338780928 1
< 0.1%
338781536 1
< 0.1%
338782144 1
< 0.1%
338782720 1
< 0.1%
338783328 1
< 0.1%
338783936 1
< 0.1%
338784544 1
< 0.1%
338785152 1
< 0.1%
338785728 1
< 0.1%
338786336 1
< 0.1%
ValueCountFrequency (%)
354177856 1
< 0.1%
354177248 1
< 0.1%
354176640 1
< 0.1%
354176064 1
< 0.1%
354175456 1
< 0.1%
354174848 1
< 0.1%
354174240 1
< 0.1%
354173664 1
< 0.1%
354173056 1
< 0.1%
354172448 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct10553
Distinct (%)40.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.5755474 × 108
Minimum1.5436619 × 108
Maximum1.6046797 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.035469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.5436619 × 108
5-th percentile1.5473427 × 108
Q11.5590641 × 108
median1.5771251 × 108
Q31.5905338 × 108
95-th percentile1.6030241 × 108
Maximum1.6046797 × 108
Range6101776
Interquartile range (IQR)3146968

Descriptive statistics

Standard deviation1792355.5
Coefficient of variation (CV)0.011376082
Kurtosis-1.1964572
Mean1.5755474 × 108
Median Absolute Deviation (MAD)1515584
Skewness-0.18591906
Sum4.1235226 × 1012
Variance3.2125384 × 1012
MonotonicityIncreasing
2025-05-05T17:44:37.113533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158337888 716
 
2.7%
158234624 715
 
2.7%
154907008 597
 
2.3%
158520288 537
 
2.0%
154734272 497
 
1.9%
160370400 496
 
1.9%
158881696 398
 
1.5%
155451232 377
 
1.4%
159715920 348
 
1.3%
158974688 344
 
1.3%
Other values (10543) 21147
80.7%
ValueCountFrequency (%)
154366192 66
0.3%
154366528 1
 
< 0.1%
154367136 1
 
< 0.1%
154367728 1
 
< 0.1%
154368336 1
 
< 0.1%
154368928 1
 
< 0.1%
154369536 1
 
< 0.1%
154370128 1
 
< 0.1%
154370736 1
 
< 0.1%
154371328 1
 
< 0.1%
ValueCountFrequency (%)
160467968 87
0.3%
160467696 1
 
< 0.1%
160467104 1
 
< 0.1%
160466496 1
 
< 0.1%
160465888 1
 
< 0.1%
160465296 1
 
< 0.1%
160464704 1
 
< 0.1%
160464096 1
 
< 0.1%
160463504 1
 
< 0.1%
160462896 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct12069
Distinct (%)46.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.1052878 × 108
Minimum1.073472 × 108
Maximum1.1397153 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.193725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.073472 × 108
5-th percentile1.0765298 × 108
Q11.0890927 × 108
median1.1044878 × 108
Q31.1212528 × 108
95-th percentile1.1352919 × 108
Maximum1.1397153 × 108
Range6624328
Interquartile range (IQR)3216008

Descriptive statistics

Standard deviation1899840.3
Coefficient of variation (CV)0.017188647
Kurtosis-1.206398
Mean1.1052878 × 108
Median Absolute Deviation (MAD)1604692
Skewness0.11115609
Sum2.8927593 × 1012
Variance3.6093931 × 1012
MonotonicityIncreasing
2025-05-05T17:44:37.273760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109282264 343
 
1.3%
108334464 284
 
1.1%
110188936 284
 
1.1%
108598624 243
 
0.9%
113529192 226
 
0.9%
109451544 216
 
0.8%
109373440 213
 
0.8%
110619400 208
 
0.8%
110617880 193
 
0.7%
109292976 189
 
0.7%
Other values (12059) 23773
90.7%
ValueCountFrequency (%)
107347200 1
< 0.1%
107347800 1
< 0.1%
107348400 1
< 0.1%
107349000 1
< 0.1%
107349600 1
< 0.1%
107350200 1
< 0.1%
107350800 1
< 0.1%
107351400 1
< 0.1%
107352000 1
< 0.1%
107352600 1
< 0.1%
ValueCountFrequency (%)
113971528 1
< 0.1%
113970928 1
< 0.1%
113970320 1
< 0.1%
113969728 1
< 0.1%
113969120 1
< 0.1%
113968528 1
< 0.1%
113967920 1
< 0.1%
113967328 1
< 0.1%
113966720 1
< 0.1%
113966128 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct14405
Distinct (%)55.0%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean15786486
Minimum15472151
Maximum16129290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.351822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum15472151
5-th percentile15501548
Q115623083
median15795310
Q315935523
95-th percentile16095249
Maximum16129290
Range657139
Interquartile range (IQR)312440

Descriptive statistics

Standard deviation189430.91
Coefficient of variation (CV)0.011999562
Kurtosis-1.1271121
Mean15786486
Median Absolute Deviation (MAD)155989.5
Skewness0.042938233
Sum4.131639 × 1011
Variance3.588407 × 1010
MonotonicityIncreasing
2025-05-05T17:44:37.431056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15509654 114
 
0.4%
15963963 91
 
0.3%
15919261 85
 
0.3%
15834344 83
 
0.3%
15917603 63
 
0.2%
15473616 56
 
0.2%
15504260 56
 
0.2%
15528354 55
 
0.2%
16114828 53
 
0.2%
15834039 51
 
0.2%
Other values (14395) 25465
97.2%
ValueCountFrequency (%)
15472151 1
 
< 0.1%
15472171 1
 
< 0.1%
15472194 2
 
< 0.1%
15472213 1
 
< 0.1%
15472234 4
< 0.1%
15472267 1
 
< 0.1%
15472275 4
< 0.1%
15472293 3
< 0.1%
15472314 7
< 0.1%
15472333 4
< 0.1%
ValueCountFrequency (%)
16129290 1
 
< 0.1%
16129272 3
 
< 0.1%
16129253 1
 
< 0.1%
16129238 1
 
< 0.1%
16129223 6
 
< 0.1%
16129210 5
 
< 0.1%
16129198 1
 
< 0.1%
16129181 4
 
< 0.1%
16129163 31
0.1%
16129141 4
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct159
Distinct (%)0.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10641097
Minimum10587137
Maximum10665422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.511721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10587137
5-th percentile10603892
Q110624202
median10649034
Q310654091
95-th percentile10665410
Maximum10665422
Range78285
Interquartile range (IQR)29889

Descriptive statistics

Standard deviation21792.57
Coefficient of variation (CV)0.0020479628
Kurtosis-0.7572612
Mean10641097
Median Absolute Deviation (MAD)16376
Skewness-0.74060605
Sum2.7849879 × 1011
Variance4.7491612 × 108
MonotonicityIncreasing
2025-05-05T17:44:37.594481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10654091 6474
24.7%
10649034 5132
19.6%
10603892 3995
15.2%
10665410 3920
15.0%
10624202 2311
 
8.8%
10628098 1292
 
4.9%
10665422 895
 
3.4%
10625192 440
 
1.7%
10617050 414
 
1.6%
10624440 398
 
1.5%
Other values (149) 901
 
3.4%
ValueCountFrequency (%)
10587137 301
1.1%
10587169 59
 
0.2%
10587483 1
 
< 0.1%
10588083 1
 
< 0.1%
10588684 1
 
< 0.1%
10589283 1
 
< 0.1%
10589884 1
 
< 0.1%
10590484 1
 
< 0.1%
10591084 1
 
< 0.1%
10591684 1
 
< 0.1%
ValueCountFrequency (%)
10665422 895
 
3.4%
10665417 1
 
< 0.1%
10665410 3920
15.0%
10665291 1
 
< 0.1%
10664692 1
 
< 0.1%
10664091 1
 
< 0.1%
10663491 1
 
< 0.1%
10662890 1
 
< 0.1%
10662287 1
 
< 0.1%
10661747 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct25902
Distinct (%)99.0%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.5947997 × 108
Minimum3.5172304 × 108
Maximum3.6724458 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.675410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.5172304 × 108
5-th percentile3.524895 × 108
Q13.5559386 × 108
median3.5946958 × 108
Q33.6336978 × 108
95-th percentile3.6645946 × 108
Maximum3.6724458 × 108
Range15521536
Interquartile range (IQR)7775920

Descriptive statistics

Standard deviation4482215.9
Coefficient of variation (CV)0.012468611
Kurtosis-1.2023015
Mean3.5947997 × 108
Median Absolute Deviation (MAD)3888960
Skewness-0.00035214078
Sum9.4083097 × 1012
Variance2.0090259 × 1013
MonotonicityIncreasing
2025-05-05T17:44:37.757831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
357231136 35
 
0.1%
358973696 34
 
0.1%
351938400 26
 
0.1%
362978240 25
 
0.1%
354336288 22
 
0.1%
365089312 21
 
0.1%
364152032 20
 
0.1%
354584288 13
 
< 0.1%
365092928 12
 
< 0.1%
354749600 11
 
< 0.1%
Other values (25892) 25953
99.0%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
351723040 1
< 0.1%
351723616 1
< 0.1%
351724224 1
< 0.1%
351724832 1
< 0.1%
351725440 1
< 0.1%
351726016 1
< 0.1%
351726624 1
< 0.1%
351727232 1
< 0.1%
351727840 1
< 0.1%
351728416 1
< 0.1%
ValueCountFrequency (%)
367244576 1
< 0.1%
367243968 1
< 0.1%
367243360 1
< 0.1%
367242784 1
< 0.1%
367242176 1
< 0.1%
367241568 1
< 0.1%
367240960 1
< 0.1%
367240384 1
< 0.1%
367239776 1
< 0.1%
367239168 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct19854
Distinct (%)75.9%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.5073456 × 108
Minimum2.4502029 × 108
Maximum2.5620906 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:37.843214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.4502029 × 108
5-th percentile2.4572333 × 108
Q12.4782067 × 108
median2.5086467 × 108
Q32.5343667 × 108
95-th percentile2.557409 × 108
Maximum2.5620906 × 108
Range11188768
Interquartile range (IQR)5616004

Descriptive statistics

Standard deviation3230437.6
Coefficient of variation (CV)0.012883894
Kurtosis-1.2097983
Mean2.5073456 × 108
Median Absolute Deviation (MAD)2802128
Skewness-0.080519605
Sum6.562225 × 1012
Variance1.0435727 × 1013
MonotonicityIncreasing
2025-05-05T17:44:37.922909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253155952 253
 
1.0%
245919120 143
 
0.5%
251712848 136
 
0.5%
255874864 120
 
0.5%
251894992 118
 
0.5%
251678208 109
 
0.4%
250131664 104
 
0.4%
253842560 99
 
0.4%
251698880 97
 
0.4%
251945792 96
 
0.4%
Other values (19844) 24897
95.0%
ValueCountFrequency (%)
245020288 1
< 0.1%
245020512 1
< 0.1%
245020880 1
< 0.1%
245021328 1
< 0.1%
245021936 1
< 0.1%
245022496 1
< 0.1%
245022784 1
< 0.1%
245023392 1
< 0.1%
245023984 1
< 0.1%
245024592 1
< 0.1%
ValueCountFrequency (%)
256209056 1
< 0.1%
256208448 1
< 0.1%
256207856 1
< 0.1%
256207248 1
< 0.1%
256206656 1
< 0.1%
256206048 1
< 0.1%
256205456 1
< 0.1%
256204848 1
< 0.1%
256204256 1
< 0.1%
256203648 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct1987
Distinct (%)7.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-462.71504
Minimum-3524
Maximum290
Zeros20017
Zeros (%)76.4%
Negative6154
Negative (%)23.5%
Memory size1.4 MiB
2025-05-05T17:44:37.999776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3524
5-th percentile-2695
Q10
median0
Q30
95-th percentile0
Maximum290
Range3814
Interquartile range (IQR)0

Descriptive statistics

Standard deviation947.3803
Coefficient of variation (CV)-2.0474379
Kurtosis1.1286999
Mean-462.71504
Median Absolute Deviation (MAD)0
Skewness-1.7146541
Sum-12110178
Variance897529.43
MonotonicityNot monotonic
2025-05-05T17:44:38.077722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20017
76.4%
-1 75
 
0.3%
-2681 24
 
0.1%
-2666 23
 
0.1%
-2701 20
 
0.1%
-2695 20
 
0.1%
-2665 19
 
0.1%
-2682 19
 
0.1%
-2673 19
 
0.1%
-2705 19
 
0.1%
Other values (1977) 5917
 
22.6%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-3524 1
< 0.1%
-3484 1
< 0.1%
-3441 1
< 0.1%
-3439 1
< 0.1%
-3429 1
< 0.1%
-3317 1
< 0.1%
-3303 1
< 0.1%
-3298 1
< 0.1%
-3205 1
< 0.1%
-3183 1
< 0.1%
ValueCountFrequency (%)
290 1
 
< 0.1%
0 20017
76.4%
-1 75
 
0.3%
-7 1
 
< 0.1%
-10 1
 
< 0.1%
-11 1
 
< 0.1%
-13 1
 
< 0.1%
-14 1
 
< 0.1%
-16 1
 
< 0.1%
-17 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct10083
Distinct (%)38.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean111931.51
Minimum-54
Maximum508419
Zeros15564
Zeros (%)59.4%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:44:38.157535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-54
5-th percentile0
Q10
median0
Q3201268.75
95-th percentile488852.75
Maximum508419
Range508473
Interquartile range (IQR)201268.75

Descriptive statistics

Standard deviation164276.44
Coefficient of variation (CV)1.4676515
Kurtosis0.014859265
Mean111931.51
Median Absolute Deviation (MAD)0
Skewness1.2041519
Sum2.9294715 × 109
Variance2.6986749 × 1010
MonotonicityNot monotonic
2025-05-05T17:44:38.379438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15564
59.4%
1 44
 
0.2%
500071 12
 
< 0.1%
500078 10
 
< 0.1%
500077 10
 
< 0.1%
500065 9
 
< 0.1%
500081 9
 
< 0.1%
500058 8
 
< 0.1%
500063 8
 
< 0.1%
500073 8
 
< 0.1%
Other values (10073) 10490
40.0%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-54 1
 
< 0.1%
0 15564
59.4%
1 44
 
0.2%
183 1
 
< 0.1%
269 1
 
< 0.1%
450 1
 
< 0.1%
517 1
 
< 0.1%
565 1
 
< 0.1%
598 1
 
< 0.1%
650 1
 
< 0.1%
ValueCountFrequency (%)
508419 1
< 0.1%
508413 1
< 0.1%
508390 1
< 0.1%
508386 1
< 0.1%
508385 1
< 0.1%
508378 1
< 0.1%
508371 2
< 0.1%
508352 1
< 0.1%
508345 1
< 0.1%
508265 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11257
Distinct (%)43.0%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17495.805
Minimum-1484
Maximum142871
Zeros14021
Zeros (%)53.5%
Negative177
Negative (%)0.7%
Memory size1.4 MiB
2025-05-05T17:44:38.456570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1484
5-th percentile0
Q10
median0
Q328848
95-th percentile78994.4
Maximum142871
Range144355
Interquartile range (IQR)28848

Descriptive statistics

Standard deviation27384.474
Coefficient of variation (CV)1.5652023
Kurtosis2.0610662
Mean17495.805
Median Absolute Deviation (MAD)0
Skewness1.6657724
Sum4.579002 × 108
Variance7.4990942 × 108
MonotonicityNot monotonic
2025-05-05T17:44:38.537578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14021
53.5%
1 72
 
0.3%
-1 6
 
< 0.1%
20455 4
 
< 0.1%
899 4
 
< 0.1%
3251 3
 
< 0.1%
6828 3
 
< 0.1%
270 3
 
< 0.1%
10941 3
 
< 0.1%
25911 3
 
< 0.1%
Other values (11247) 12050
46.0%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-1484 1
< 0.1%
-1477 1
< 0.1%
-1456 1
< 0.1%
-1450 1
< 0.1%
-1448 1
< 0.1%
-1374 1
< 0.1%
-1325 1
< 0.1%
-1123 1
< 0.1%
-1069 1
< 0.1%
-1048 1
< 0.1%
ValueCountFrequency (%)
142871 1
< 0.1%
139779 1
< 0.1%
139423 1
< 0.1%
137520 1
< 0.1%
137491 1
< 0.1%
136798 1
< 0.1%
136607 1
< 0.1%
136390 1
< 0.1%
136266 1
< 0.1%
136224 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21581
Distinct (%)82.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean128964.6
Minimum-3524
Maximum508419
Zeros5
Zeros (%)< 0.1%
Negative4752
Negative (%)18.1%
Memory size1.4 MiB
2025-05-05T17:44:38.620864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3524
5-th percentile-2696
Q110444.25
median58356
Q3201420.25
95-th percentile488852.75
Maximum508419
Range511943
Interquartile range (IQR)190976

Descriptive statistics

Standard deviation155051.89
Coefficient of variation (CV)1.2022825
Kurtosis0.12774504
Mean128964.6
Median Absolute Deviation (MAD)60358
Skewness1.19488
Sum3.3752615 × 109
Variance2.4041087 × 1010
MonotonicityNot monotonic
2025-05-05T17:44:38.701859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2666 23
 
0.1%
-2681 23
 
0.1%
-2690 21
 
0.1%
-2695 20
 
0.1%
-2682 19
 
0.1%
-2685 19
 
0.1%
-2705 19
 
0.1%
-2665 18
 
0.1%
-2635 18
 
0.1%
-2673 18
 
0.1%
Other values (21571) 25974
99.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-3524 1
< 0.1%
-3441 1
< 0.1%
-3439 1
< 0.1%
-3429 1
< 0.1%
-3361 1
< 0.1%
-3318 1
< 0.1%
-3303 1
< 0.1%
-3298 1
< 0.1%
-3205 1
< 0.1%
-3183 1
< 0.1%
ValueCountFrequency (%)
508419 1
< 0.1%
508413 1
< 0.1%
508390 1
< 0.1%
508386 1
< 0.1%
508385 1
< 0.1%
508378 1
< 0.1%
508371 2
< 0.1%
508352 1
< 0.1%
508345 1
< 0.1%
508265 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2229
Distinct (%)8.5%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-306.6784
Minimum-3746
Maximum2158
Zeros20044
Zeros (%)76.5%
Negative4847
Negative (%)18.5%
Memory size1.4 MiB
2025-05-05T17:44:38.779533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3746
5-th percentile-2120.45
Q10
median0
Q30
95-th percentile0
Maximum2158
Range5904
Interquartile range (IQR)0

Descriptive statistics

Standard deviation744.55741
Coefficient of variation (CV)-2.4278117
Kurtosis1.7190682
Mean-306.6784
Median Absolute Deviation (MAD)0
Skewness-1.7758024
Sum-8026387
Variance554365.74
MonotonicityNot monotonic
2025-05-05T17:44:38.857599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20044
76.5%
-1 36
 
0.1%
266 27
 
0.1%
1 27
 
0.1%
265 27
 
0.1%
264 26
 
0.1%
267 20
 
0.1%
263 19
 
0.1%
261 18
 
0.1%
262 16
 
0.1%
Other values (2219) 5912
 
22.6%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-3746 1
< 0.1%
-3608 1
< 0.1%
-3592 1
< 0.1%
-3575 1
< 0.1%
-3403 1
< 0.1%
-3379 1
< 0.1%
-3376 1
< 0.1%
-3323 1
< 0.1%
-3034 1
< 0.1%
-3001 1
< 0.1%
ValueCountFrequency (%)
2158 1
< 0.1%
2059 1
< 0.1%
1738 1
< 0.1%
1717 1
< 0.1%
1669 1
< 0.1%
1602 1
< 0.1%
1590 1
< 0.1%
1551 1
< 0.1%
1538 1
< 0.1%
1536 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct190
Distinct (%)0.7%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.0619364
Minimum-91
Maximum332
Zeros22948
Zeros (%)87.6%
Negative129
Negative (%)0.5%
Memory size1.4 MiB
2025-05-05T17:44:38.935920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-91
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum332
Range423
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.452235
Coefficient of variation (CV)7.4940404
Kurtosis91.736323
Mean2.0619364
Median Absolute Deviation (MAD)0
Skewness8.9165488
Sum53965
Variance238.77156
MonotonicityNot monotonic
2025-05-05T17:44:39.011506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22948
87.6%
1 2134
 
8.1%
2 328
 
1.3%
3 100
 
0.4%
-1 80
 
0.3%
92 11
 
< 0.1%
105 11
 
< 0.1%
98 10
 
< 0.1%
97 10
 
< 0.1%
100 9
 
< 0.1%
Other values (180) 531
 
2.0%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-91 1
 
< 0.1%
-86 1
 
< 0.1%
-77 1
 
< 0.1%
-38 2
< 0.1%
-34 3
< 0.1%
-31 1
 
< 0.1%
-20 1
 
< 0.1%
-13 1
 
< 0.1%
-11 1
 
< 0.1%
-8 2
< 0.1%
ValueCountFrequency (%)
332 1
< 0.1%
275 1
< 0.1%
269 1
< 0.1%
268 1
< 0.1%
261 1
< 0.1%
250 1
< 0.1%
239 1
< 0.1%
226 1
< 0.1%
224 2
< 0.1%
202 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct617
Distinct (%)2.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean15.829398
Minimum-786
Maximum1107
Zeros23995
Zeros (%)91.6%
Negative90
Negative (%)0.3%
Memory size1.4 MiB
2025-05-05T17:44:39.087324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-786
5-th percentile0
Q10
median0
Q30
95-th percentile110
Maximum1107
Range1893
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.670965
Coefficient of variation (CV)4.6540599
Kurtosis40.80544
Mean15.829398
Median Absolute Deviation (MAD)0
Skewness5.6689091
Sum414287
Variance5427.4112
MonotonicityNot monotonic
2025-05-05T17:44:39.166149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23995
91.6%
1 163
 
0.6%
-1 26
 
0.1%
106 15
 
0.1%
108 15
 
0.1%
118 14
 
0.1%
114 14
 
0.1%
96 14
 
0.1%
94 13
 
< 0.1%
116 13
 
< 0.1%
Other values (607) 1890
 
7.2%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-786 1
< 0.1%
-683 1
< 0.1%
-494 1
< 0.1%
-387 1
< 0.1%
-371 1
< 0.1%
-279 1
< 0.1%
-265 1
< 0.1%
-239 1
< 0.1%
-222 1
< 0.1%
-185 1
< 0.1%
ValueCountFrequency (%)
1107 1
< 0.1%
1022 1
< 0.1%
942 1
< 0.1%
920 2
< 0.1%
888 1
< 0.1%
883 1
< 0.1%
868 1
< 0.1%
851 1
< 0.1%
831 1
< 0.1%
830 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2353
Distinct (%)9.0%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-288.78706
Minimum-3746
Maximum2361
Zeros16523
Zeros (%)63.0%
Negative4808
Negative (%)18.3%
Memory size1.4 MiB
2025-05-05T17:44:39.244465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3746
5-th percentile-2120
Q10
median0
Q30
95-th percentile182
Maximum2361
Range6107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation752.63046
Coefficient of variation (CV)-2.6061779
Kurtosis1.7754476
Mean-288.78706
Median Absolute Deviation (MAD)0
Skewness-1.7127214
Sum-7558135
Variance566452.6
MonotonicityNot monotonic
2025-05-05T17:44:39.319595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16523
63.0%
1 2248
 
8.6%
2 332
 
1.3%
-1 123
 
0.5%
3 94
 
0.4%
266 26
 
0.1%
267 26
 
0.1%
265 25
 
0.1%
264 25
 
0.1%
263 20
 
0.1%
Other values (2343) 6730
25.7%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-3746 1
< 0.1%
-3608 1
< 0.1%
-3592 1
< 0.1%
-3575 1
< 0.1%
-3403 1
< 0.1%
-3379 1
< 0.1%
-3376 1
< 0.1%
-3323 1
< 0.1%
-3035 1
< 0.1%
-3001 1
< 0.1%
ValueCountFrequency (%)
2361 1
< 0.1%
2271 1
< 0.1%
2221 1
< 0.1%
2191 1
< 0.1%
1985 1
< 0.1%
1950 1
< 0.1%
1936 1
< 0.1%
1918 1
< 0.1%
1895 1
< 0.1%
1885 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5345
Distinct (%)20.4%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-346709.02
Minimum-353271
Maximum-341144
Zeros0
Zeros (%)0.0%
Negative26172
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:44:39.397018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-353271
5-th percentile-352455
Q1-350295.75
median-346168
Q3-343893
95-th percentile-341323.1
Maximum-341144
Range12127
Interquartile range (IQR)6402.75

Descriptive statistics

Standard deviation3631.0686
Coefficient of variation (CV)-0.010472957
Kurtosis-1.2184786
Mean-346709.02
Median Absolute Deviation (MAD)2865
Skewness-0.26567107
Sum-9.0740684 × 109
Variance13184659
MonotonicityDecreasing
2025-05-05T17:44:39.478097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-342881 589
 
2.2%
-346211 564
 
2.2%
-344184 474
 
1.8%
-341214 448
 
1.7%
-348016 411
 
1.6%
-352243 407
 
1.6%
-343893 392
 
1.5%
-348556 378
 
1.4%
-346210 363
 
1.4%
-344325 361
 
1.4%
Other values (5335) 21785
83.1%
ValueCountFrequency (%)
-353271 38
0.1%
-353269 1
 
< 0.1%
-353266 1
 
< 0.1%
-353263 1
 
< 0.1%
-353260 1
 
< 0.1%
-353259 1
 
< 0.1%
-353257 1
 
< 0.1%
-353255 1
 
< 0.1%
-353252 1
 
< 0.1%
-353249 1
 
< 0.1%
ValueCountFrequency (%)
-341144 87
0.3%
-341145 1
 
< 0.1%
-341146 7
 
< 0.1%
-341147 4
 
< 0.1%
-341149 38
0.1%
-341150 5
 
< 0.1%
-341151 8
 
< 0.1%
-341152 1
 
< 0.1%
-341153 4
 
< 0.1%
-341154 4
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct10519
Distinct (%)40.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean70715294
Minimum69141392
Maximum72070864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:39.556737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum69141392
5-th percentile69301504
Q169834870
median70817728
Q371509712
95-th percentile72020613
Maximum72070864
Range2929472
Interquartile range (IQR)1674842

Descriptive statistics

Standard deviation908127.78
Coefficient of variation (CV)0.012842028
Kurtosis-1.3029575
Mean70715294
Median Absolute Deviation (MAD)804468
Skewness-0.24798209
Sum1.8507607 × 1012
Variance8.2469606 × 1011
MonotonicityIncreasing
2025-05-05T17:44:39.637708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71185336 717
 
2.7%
71125448 715
 
2.7%
69355008 597
 
2.3%
71278512 537
 
2.0%
69301504 497
 
1.9%
72045264 496
 
1.9%
71420032 398
 
1.5%
69627824 377
 
1.4%
71782672 348
 
1.3%
71470984 344
 
1.3%
Other values (10509) 21146
80.7%
ValueCountFrequency (%)
69141392 66
0.3%
69141480 1
 
< 0.1%
69141616 1
 
< 0.1%
69141744 1
 
< 0.1%
69141904 1
 
< 0.1%
69142072 1
 
< 0.1%
69142272 1
 
< 0.1%
69142472 1
 
< 0.1%
69142632 1
 
< 0.1%
69142752 1
 
< 0.1%
ValueCountFrequency (%)
72070864 87
0.3%
72070832 1
 
< 0.1%
72070776 1
 
< 0.1%
72070712 1
 
< 0.1%
72070632 1
 
< 0.1%
72070560 1
 
< 0.1%
72070496 1
 
< 0.1%
72070408 1
 
< 0.1%
72070312 1
 
< 0.1%
72070208 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11763
Distinct (%)44.9%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7360599.6
Minimum7136086
Maximum7594110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:39.719716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7136086
5-th percentile7163116
Q17250961
median7358631
Q37466531
95-th percentile7565240
Maximum7594110
Range458024
Interquartile range (IQR)215570

Descriptive statistics

Standard deviation129596.17
Coefficient of variation (CV)0.017606741
Kurtosis-1.1877133
Mean7360599.6
Median Absolute Deviation (MAD)107873.5
Skewness0.054489838
Sum1.9264161 × 1011
Variance1.6795167 × 1010
MonotonicityNot monotonic
2025-05-05T17:44:39.941833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7279440 343
 
1.3%
7209216 284
 
1.1%
7339560 284
 
1.1%
7225706 243
 
0.9%
7565240 226
 
0.9%
7290137 216
 
0.8%
7284887 213
 
0.8%
7373977 208
 
0.8%
7373736 193
 
0.7%
7280626 189
 
0.7%
Other values (11753) 23773
90.7%
ValueCountFrequency (%)
7136086 1
< 0.1%
7136101 1
< 0.1%
7136121 1
< 0.1%
7136139 1
< 0.1%
7136161 1
< 0.1%
7136182 1
< 0.1%
7136203 1
< 0.1%
7136229 1
< 0.1%
7136263 1
< 0.1%
7136298 1
< 0.1%
ValueCountFrequency (%)
7594110 1
< 0.1%
7594074 1
< 0.1%
7594031 1
< 0.1%
7593984 1
< 0.1%
7593929 1
< 0.1%
7593862 1
< 0.1%
7593791 1
< 0.1%
7593722 1
< 0.1%
7593648 1
< 0.1%
7593575 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct20754
Distinct (%)79.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean77729185
Minimum75936336
Maximum79311696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:40.018417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum75936336
5-th percentile76123360
Q176741940
median77830192
Q378625962
95-th percentile79233397
Maximum79311696
Range3375360
Interquartile range (IQR)1884022

Descriptive statistics

Standard deviation1032817.8
Coefficient of variation (CV)0.013287387
Kurtosis-1.2929316
Mean77729185
Median Absolute Deviation (MAD)905056
Skewness-0.21413292
Sum2.0343282 × 1012
Variance1.0667125 × 1012
MonotonicityNot monotonic
2025-05-05T17:44:40.099179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76882352 28
 
0.1%
75954440 27
 
0.1%
76912840 24
 
0.1%
75954432 22
 
0.1%
77605216 21
 
0.1%
76935200 19
 
0.1%
78733080 18
 
0.1%
76629248 18
 
0.1%
77605232 17
 
0.1%
76490688 16
 
0.1%
Other values (20744) 25962
99.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
75936336 1
< 0.1%
75936352 1
< 0.1%
75936368 1
< 0.1%
75936384 1
< 0.1%
75936408 1
< 0.1%
75936432 1
< 0.1%
75936448 1
< 0.1%
75936480 1
< 0.1%
75936512 1
< 0.1%
75936544 1
< 0.1%
ValueCountFrequency (%)
79311696 1
< 0.1%
79311664 1
< 0.1%
79311616 1
< 0.1%
79311576 1
< 0.1%
79311520 1
< 0.1%
79311448 1
< 0.1%
79311384 1
< 0.1%
79311312 1
< 0.1%
79311240 1
< 0.1%
79311168 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct4399
Distinct (%)16.8%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-264508.98
Minimum-268899
Maximum-260839
Zeros0
Zeros (%)0.0%
Negative26172
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:44:40.179585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-268899
5-th percentile-268339
Q1-266919.25
median-264021
Q3-262712
95-th percentile-260933.1
Maximum-260839
Range8060
Interquartile range (IQR)4207.25

Descriptive statistics

Standard deviation2395.5654
Coefficient of variation (CV)-0.0090566506
Kurtosis-1.1955435
Mean-264508.98
Median Absolute Deviation (MAD)1737
Skewness-0.30447642
Sum-6.9227291 × 109
Variance5738733.8
MonotonicityNot monotonic
2025-05-05T17:44:40.260021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-264047 930
 
3.5%
-262117 599
 
2.3%
-260855 560
 
2.1%
-262779 514
 
2.0%
-262828 487
 
1.9%
-263029 471
 
1.8%
-265359 412
 
1.6%
-268202 411
 
1.6%
-262911 408
 
1.6%
-262712 392
 
1.5%
Other values (4389) 20988
80.1%
ValueCountFrequency (%)
-268899 38
0.1%
-268897 1
 
< 0.1%
-268895 1
 
< 0.1%
-268892 1
 
< 0.1%
-268891 2
 
< 0.1%
-268890 1
 
< 0.1%
-268889 1
 
< 0.1%
-268886 1
 
< 0.1%
-268884 1
 
< 0.1%
-268881 1
 
< 0.1%
ValueCountFrequency (%)
-260839 5
 
< 0.1%
-260840 62
0.2%
-260841 5
 
< 0.1%
-260842 12
 
< 0.1%
-260843 13
 
< 0.1%
-260844 85
0.3%
-260845 8
 
< 0.1%
-260846 5
 
< 0.1%
-260847 5
 
< 0.1%
-260848 6
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct54
Distinct (%)0.2%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4429.9345
Minimum4402
Maximum4455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:40.341814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4402
5-th percentile4406
Q14418
median4431
Q34441
95-th percentile4454
Maximum4455
Range53
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.123148
Coefficient of variation (CV)0.0034138535
Kurtosis-1.0964913
Mean4429.9345
Median Absolute Deviation (MAD)12
Skewness-0.13385424
Sum1.1594025 × 108
Variance228.7096
MonotonicityIncreasing
2025-05-05T17:44:40.423347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4435 1657
 
6.3%
4441 1461
 
5.6%
4411 1056
 
4.0%
4455 1041
 
4.0%
4408 1002
 
3.8%
4429 839
 
3.2%
4406 825
 
3.1%
4422 798
 
3.0%
4438 763
 
2.9%
4426 704
 
2.7%
Other values (44) 16026
61.1%
ValueCountFrequency (%)
4402 201
 
0.8%
4403 158
 
0.6%
4404 425
1.6%
4405 136
 
0.5%
4406 825
3.1%
4407 548
2.1%
4408 1002
3.8%
4409 555
2.1%
4410 202
 
0.8%
4411 1056
4.0%
ValueCountFrequency (%)
4455 1041
4.0%
4454 515
2.0%
4453 205
 
0.8%
4452 261
 
1.0%
4451 449
1.7%
4450 537
2.0%
4449 520
2.0%
4448 249
 
1.0%
4447 359
 
1.4%
4446 498
1.9%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct415
Distinct (%)1.6%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8189.5271
Minimum8003
Maximum8417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:40.502903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8003
5-th percentile8011
Q18094
median8191
Q38290
95-th percentile8382
Maximum8417
Range414
Interquartile range (IQR)196

Descriptive statistics

Standard deviation119.60172
Coefficient of variation (CV)0.014604228
Kurtosis-1.1279134
Mean8189.5271
Median Absolute Deviation (MAD)98
Skewness0.20066435
Sum2.143363 × 108
Variance14304.572
MonotonicityIncreasing
2025-05-05T17:44:40.580393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8110 663
 
2.5%
8056 449
 
1.7%
8119 443
 
1.7%
8194 427
 
1.6%
8222 400
 
1.5%
8354 399
 
1.5%
8248 389
 
1.5%
8116 367
 
1.4%
8382 360
 
1.4%
8168 357
 
1.4%
Other values (405) 21918
83.6%
ValueCountFrequency (%)
8003 241
0.9%
8004 147
0.6%
8005 291
1.1%
8006 186
0.7%
8007 85
 
0.3%
8008 15
 
0.1%
8009 3
 
< 0.1%
8010 222
0.8%
8011 135
0.5%
8012 121
0.5%
ValueCountFrequency (%)
8417 42
 
0.2%
8416 2
 
< 0.1%
8415 280
1.1%
8414 21
 
0.1%
8413 35
 
0.1%
8412 7
 
< 0.1%
8411 107
 
0.4%
8410 2
 
< 0.1%
8409 3
 
< 0.1%
8408 18
 
0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct4253
Distinct (%)16.3%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-251888.92
Minimum-256026
Maximum-248431
Zeros0
Zeros (%)0.0%
Negative26172
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:44:40.658205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-256026
5-th percentile-255503
Q1-254186
median-251398
Q3-250200
95-th percentile-248515.1
Maximum-248431
Range7595
Interquartile range (IQR)3986

Descriptive statistics

Standard deviation2261.9054
Coefficient of variation (CV)-0.0089797734
Kurtosis-1.1997077
Mean-251888.92
Median Absolute Deviation (MAD)1628
Skewness-0.31183991
Sum-6.5924369 × 109
Variance5116216.2
MonotonicityNot monotonic
2025-05-05T17:44:40.741513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-250296 612
 
2.3%
-249651 349
 
1.3%
-251419 343
 
1.3%
-250485 341
 
1.3%
-250087 326
 
1.2%
-249652 321
 
1.2%
-252701 312
 
1.2%
-256007 293
 
1.1%
-255503 277
 
1.1%
-250372 259
 
1.0%
Other values (4243) 22739
86.8%
ValueCountFrequency (%)
-256026 38
0.1%
-256024 1
 
< 0.1%
-256022 1
 
< 0.1%
-256019 2
 
< 0.1%
-256018 2
 
< 0.1%
-256017 1
 
< 0.1%
-256014 1
 
< 0.1%
-256012 1
 
< 0.1%
-256009 1
 
< 0.1%
-256008 3
 
< 0.1%
ValueCountFrequency (%)
-248431 4
 
< 0.1%
-248432 62
0.2%
-248433 13
 
< 0.1%
-248434 9
 
< 0.1%
-248435 4
 
< 0.1%
-248436 10
 
< 0.1%
-248437 84
0.3%
-248438 5
 
< 0.1%
-248439 10
 
< 0.1%
-248440 5
 
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8.160133
Minimum0
Maximum844
Zeros25615
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:40.807769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum844
Range844
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.597128
Coefficient of variation (CV)8.4063738
Kurtosis109.66639
Mean8.160133
Median Absolute Deviation (MAD)0
Skewness10.201854
Sum213567
Variance4705.566
MonotonicityNot monotonic
2025-05-05T17:44:40.862279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 25615
97.7%
144 165
 
0.6%
808 130
 
0.5%
220 125
 
0.5%
675 51
 
0.2%
224 30
 
0.1%
222 20
 
0.1%
276 15
 
0.1%
356 5
 
< 0.1%
182 3
 
< 0.1%
Other values (8) 13
 
< 0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 25615
97.7%
127 2
 
< 0.1%
144 165
 
0.6%
154 1
 
< 0.1%
182 3
 
< 0.1%
220 125
 
0.5%
222 20
 
0.1%
223 2
 
< 0.1%
224 30
 
0.1%
276 15
 
0.1%
ValueCountFrequency (%)
844 1
 
< 0.1%
808 130
0.5%
745 3
 
< 0.1%
675 51
 
0.2%
356 5
 
< 0.1%
338 1
 
< 0.1%
318 2
 
< 0.1%
309 1
 
< 0.1%
276 15
 
0.1%
224 30
 
0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct19
Distinct (%)0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.901727
Minimum-28
Maximum2264
Zeros25822
Zeros (%)98.5%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:44:40.915429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2264
Range2292
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.808451
Coefficient of variation (CV)14.622735
Kurtosis1984.5321
Mean1.901727
Median Absolute Deviation (MAD)0
Skewness33.046638
Sum49772
Variance773.30997
MonotonicityNot monotonic
2025-05-05T17:44:40.970277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 25822
98.5%
251 159
 
0.6%
2 124
 
0.5%
1 41
 
0.2%
3 7
 
< 0.1%
252 6
 
< 0.1%
165 1
 
< 0.1%
148 1
 
< 0.1%
-28 1
 
< 0.1%
188 1
 
< 0.1%
Other values (9) 9
 
< 0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
-28 1
 
< 0.1%
0 25822
98.5%
1 41
 
0.2%
2 124
 
0.5%
3 7
 
< 0.1%
94 1
 
< 0.1%
148 1
 
< 0.1%
165 1
 
< 0.1%
188 1
 
< 0.1%
192 1
 
< 0.1%
ValueCountFrequency (%)
2264 1
 
< 0.1%
998 1
 
< 0.1%
977 1
 
< 0.1%
957 1
 
< 0.1%
944 1
 
< 0.1%
937 1
 
< 0.1%
252 6
 
< 0.1%
251 159
0.6%
205 1
 
< 0.1%
192 1
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct9
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.094987009
Minimum0
Maximum484
Zeros26161
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:44:41.019740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum484
Range484
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9165992
Coefficient of variation (CV)62.28851
Kurtosis4807.8856
Mean0.094987009
Median Absolute Deviation (MAD)0
Skewness67.479285
Sum2486
Variance35.006147
MonotonicityNot monotonic
2025-05-05T17:44:41.070198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 26161
99.8%
1 3
 
< 0.1%
292 2
 
< 0.1%
43 1
 
< 0.1%
260 1
 
< 0.1%
239 1
 
< 0.1%
392 1
 
< 0.1%
481 1
 
< 0.1%
484 1
 
< 0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 26161
99.8%
1 3
 
< 0.1%
43 1
 
< 0.1%
239 1
 
< 0.1%
260 1
 
< 0.1%
292 2
 
< 0.1%
392 1
 
< 0.1%
481 1
 
< 0.1%
484 1
 
< 0.1%
ValueCountFrequency (%)
484 1
 
< 0.1%
481 1
 
< 0.1%
392 1
 
< 0.1%
292 2
 
< 0.1%
260 1
 
< 0.1%
239 1
 
< 0.1%
43 1
 
< 0.1%
1 3
 
< 0.1%
0 26161
99.8%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26172 
True
 
36
ValueCountFrequency (%)
False 26172
99.9%
True 36
 
0.1%
2025-05-05T17:44:41.108218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:44:41.388186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.000-0.0410.045-0.794-0.165-0.0230.0870.0840.0870.053-1.000-0.1660.0130.0060.0200.021-0.746-0.529-0.804-0.249-0.721-0.2890.0440.0030.0190.0340.0400.0420.0510.040-0.125-1.000-1.000-0.131-0.198-0.355-0.012-0.007-0.0080.0650.0630.066-0.004-0.725-0.442-0.1610.0190.0430.0410.0440.0240.0840.0840.0950.0580.0900.0870.0840.0510.0450.0620.029-0.0020.0940.1740.148-0.132-0.148-0.140-1.000-1.000-0.520-0.247-0.266-0.2510.072-0.0150.063-0.057-0.046-0.019-0.0710.044-0.1050.068-0.0090.157-0.7590.0450.0450.0520.078-0.0450.0480.043-0.0370.0900.0581.000-0.999-1.0000.0640.0630.068-0.008-1.000-0.985-0.6530.073-1.000-1.0000.999-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.0000.0420.0380.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.021-0.0210.7440.5280.8040.2500.7210.289-0.045-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1261.0001.0000.1310.1980.3550.0130.0080.009-0.065-0.063-0.0660.0030.7240.4430.161-0.018-0.043-0.041-0.0440.023-0.083-0.084-0.095-0.058-0.090-0.087-0.084-0.051-0.044-0.062-0.0290.002-0.095-0.174-0.1490.1320.1480.1401.0001.0000.5190.2480.2670.252-0.0720.015-0.0630.0570.0460.0190.071-0.0440.105-0.0680.009-0.1570.7580.0380.038-0.051-0.0780.045-0.047-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9840.651-0.0731.0001.000-0.9991.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.0000.0420.0390.7930.1640.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.021-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.019-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.025-0.084-0.084-0.095-0.058-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.095-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0390.039-0.052-0.0780.045-0.048-0.0430.037-0.091-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Active power limit [W]-0.0410.0420.0421.0000.6920.035-0.013-0.0100.007-0.0030.033-0.0220.0420.001-0.101-0.095-0.0970.0010.0420.0540.0330.0910.0220.047-0.119-0.0280.0950.0940.0930.0950.0900.0920.1220.0420.0420.0780.0790.0670.0740.0770.0750.0930.0820.0890.0420.0690.0710.0660.0980.0900.0910.0910.1730.0080.0150.041-0.0100.0630.0640.0610.074-0.026-0.027-0.018-0.016-0.000-0.006-0.0010.0610.0640.0710.0420.0410.0550.0840.0870.086-0.3020.4000.0470.0490.5200.6770.396-0.4130.4400.0410.0350.0770.0740.6920.6920.0860.0440.045-0.0210.0080.0020.067-0.019-0.0410.0410.0410.0930.0820.0900.0340.0420.042-0.015-0.3040.0420.041-0.0400.0420.0420.0421.000
Active power limit source0.0450.0380.0390.6921.0000.0480.0240.0200.0110.0000.3570.0060.0430.1230.2180.3570.3570.0400.4080.4120.4080.4120.4080.4080.0000.0000.4150.4130.4130.4130.4110.4180.4560.0340.0440.4080.4100.4080.4090.4080.4090.0850.0890.3570.0000.4090.4080.4080.0610.0260.0260.0260.3530.0110.0360.0200.0000.0190.3540.0390.0050.0000.0010.0000.0170.2940.2940.2940.4080.4080.4080.0400.0440.4200.4090.4090.4090.0000.2330.0160.0230.3350.8040.2260.4660.2760.0430.0000.4570.4100.9790.9790.0690.0160.0080.0000.0000.0000.0270.0000.0470.0340.0510.0840.0880.3570.0000.0390.0650.4090.0000.0380.0280.0450.0400.0350.0461.000
Ambient Temp. Avg. [°C]-0.7940.7930.7930.0350.0481.0000.0990.021-0.226-0.231-0.202-0.2050.7930.0940.0890.1230.054-0.1100.9060.6410.7700.0920.6750.209-0.046-0.006-0.162-0.178-0.183-0.186-0.196-0.1820.0750.7930.7930.0320.0860.302-0.129-0.137-0.135-0.208-0.211-0.185-0.0780.6740.3860.053-0.150-0.191-0.189-0.1930.035-0.230-0.238-0.212-0.212-0.237-0.242-0.208-0.203-0.139-0.170-0.0510.040-0.100-0.145-0.1380.0240.0490.0370.7930.7930.4790.1100.1660.124-0.0570.011-0.1820.0720.0250.0060.056-0.0200.074-0.198-0.106-0.0490.7640.0480.048-0.181-0.1940.040-0.143-0.1000.049-0.237-0.153-0.7930.7930.794-0.207-0.210-0.190-0.0640.7930.7760.867-0.0570.7930.793-0.7920.7930.7930.7931.000
Ambient WindDir Absolute Avg. [°]-0.1650.1650.164-0.0130.0240.0991.000-0.032-0.013-0.026-0.010-0.0320.1650.855-0.054-0.045-0.074-0.0070.1630.0650.0740.0560.0790.026-0.0470.0050.0020.000-0.0010.0020.0020.0000.0270.1650.1640.0010.0140.029-0.010-0.010-0.010-0.007-0.0250.024-0.0420.0680.0210.0250.068-0.004-0.003-0.0040.000-0.020-0.031-0.015-0.006-0.005-0.0180.006-0.0050.037-0.0330.096-0.0920.0280.0050.0120.0090.0090.0080.1650.1650.0920.0060.0060.009-0.0300.017-0.0310.089-0.0210.0090.0320.0260.0080.040-0.011-0.0820.0820.0240.0240.072-0.0440.0770.044-0.033-0.015-0.0050.010-0.1640.1640.165-0.005-0.0230.021-0.0410.1650.1770.116-0.0300.1650.165-0.1630.1650.1650.1651.000
Ambient WindDir Relative Avg. [°]-0.0230.0230.023-0.0100.0200.021-0.0321.0000.0280.037-0.0080.0690.023-0.012-0.069-0.083-0.0330.0340.0400.002-0.0020.0190.0250.0290.0210.0150.0210.0230.0200.0180.0210.0240.0020.0230.0230.0570.0400.0360.0330.0320.0320.0230.034-0.0010.107-0.0150.0280.0190.0230.0120.0110.0110.0000.0280.042-0.0120.1000.0150.029-0.0180.0820.0670.101-0.020-0.0070.0200.0180.0120.0290.0290.0290.0230.023-0.0100.0230.0380.0240.036-0.0140.0110.025-0.028-0.004-0.0360.025-0.0530.0330.126-0.0450.0030.0200.0200.037-0.0090.0390.0540.0090.0240.0150.053-0.0230.0220.0230.0230.035-0.0010.1060.0230.0190.0030.0370.0230.023-0.0230.0230.0230.0231.000
Ambient WindSpeed Avg. [m/s]0.087-0.087-0.0870.0070.011-0.226-0.0130.0281.0000.9790.9470.836-0.0870.002-0.474-0.531-0.3620.340-0.196-0.2080.0860.7410.3400.7430.1180.0130.9350.9310.9390.9350.9290.9330.587-0.087-0.0870.7520.8180.6540.9190.9190.9200.9350.9220.8670.2850.2400.5560.8250.6550.9400.9390.9400.0070.9910.9730.9250.7530.9440.9310.8740.7290.4000.4480.218-0.1510.007-0.0060.2160.8750.8550.864-0.087-0.0870.0860.7760.7380.7760.090-0.0790.812-0.3370.0180.012-0.085-0.018-0.0150.8000.1930.0820.2180.0110.0110.6480.850-0.2220.4480.384-0.2060.9440.4770.089-0.089-0.0870.9310.9220.8720.249-0.087-0.100-0.4220.089-0.087-0.0870.088-0.087-0.087-0.0871.000
Ambient WindSpeed Max. [m/s]0.084-0.084-0.084-0.0030.000-0.231-0.0260.0370.9791.0000.8890.908-0.084-0.013-0.440-0.539-0.3000.399-0.186-0.1950.0810.7330.3370.7320.1110.0160.9210.9180.9250.9200.9150.9200.576-0.084-0.0840.7380.8090.6440.9080.9080.9090.9220.9310.8190.3380.2320.5580.8120.6260.9280.9270.9270.0130.9770.9800.8800.7900.9300.9370.8310.7650.4020.4920.157-0.1020.0080.0020.2260.8610.8410.850-0.084-0.0840.0840.7750.7340.7740.091-0.0890.808-0.3500.0050.006-0.086-0.004-0.0170.7720.2630.0810.2220.0000.0000.6160.848-0.2310.4400.399-0.1680.9300.4870.085-0.085-0.0840.9160.9310.8270.300-0.084-0.097-0.4060.090-0.084-0.0840.085-0.084-0.084-0.0841.000
Ambient WindSpeed Min. [m/s]0.087-0.087-0.0870.0330.357-0.202-0.010-0.0080.9470.8891.0000.661-0.0870.004-0.466-0.452-0.4300.195-0.196-0.2110.0850.6950.3180.7040.1150.0040.8800.8720.8840.8810.8740.8760.554-0.087-0.0870.7070.7660.6170.8610.8600.8610.8800.8340.8870.1450.2350.5070.7810.6380.8850.8850.8850.8660.9320.8860.9480.6130.8910.8500.8960.5960.3220.3180.285-0.215-0.005-0.0240.1820.8270.8090.816-0.087-0.0870.0720.7220.6870.7220.066-0.0550.761-0.3150.0490.042-0.063-0.0440.0070.7620.0740.0890.2010.3570.3570.6310.799-0.2260.3950.330-0.2800.8900.3930.088-0.089-0.0870.8770.8360.8860.116-0.087-0.096-0.4120.065-0.087-0.0870.088-0.087-0.087-0.0871.000
Ambient WindSpeed StdDev [m/s]0.053-0.053-0.053-0.0220.006-0.205-0.0320.0690.8360.9080.6611.000-0.053-0.020-0.276-0.468-0.0800.538-0.138-0.1440.0810.6590.3130.6410.0960.0200.7960.7990.7980.7940.7900.7960.518-0.053-0.0530.6340.7140.5690.7930.7940.7940.7970.8560.6160.4450.2060.5130.7130.4660.8060.8050.8040.0100.8480.8940.6830.7870.8030.8510.6400.7640.3610.546-0.0160.047-0.003-0.0000.2060.7470.7310.738-0.053-0.0530.0700.7040.6580.7020.090-0.1060.703-0.345-0.016-0.017-0.0880.016-0.0150.6190.3830.0810.2290.0060.0060.4570.755-0.2220.3720.402-0.0500.8030.4620.054-0.054-0.0530.7870.8530.6310.404-0.053-0.068-0.3190.089-0.053-0.0530.054-0.053-0.053-0.0531.000
Ambient ok hours [h]-1.0001.0001.0000.0420.0430.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.025-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0430.043-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Avg. direction [°]-0.1660.1660.1660.0010.1230.0940.855-0.0120.002-0.0130.004-0.0200.1661.000-0.062-0.055-0.081-0.0030.1550.0580.0830.0800.0910.044-0.041-0.0000.0220.0200.0200.0210.0220.0210.0570.1660.1660.0170.0370.0460.0100.0100.0100.010-0.0090.040-0.0410.0770.0300.0440.0830.0120.0130.0120.023-0.003-0.0130.0030.0060.0140.0000.0260.0080.043-0.0260.103-0.0990.0310.0030.0130.0280.0270.0270.1660.1660.0990.0230.0200.025-0.0250.023-0.0160.084-0.0070.0360.0360.0170.0130.055-0.013-0.0740.0870.1230.1230.089-0.0270.0730.053-0.026-0.0280.0150.018-0.1650.1650.1660.012-0.0080.037-0.0400.1660.1770.113-0.0250.1660.166-0.1650.1660.1660.1661.000
Blades PitchAngle Avg. [°]0.013-0.013-0.013-0.1010.2180.089-0.054-0.069-0.474-0.440-0.466-0.276-0.013-0.0621.0000.8820.9270.0950.0450.0750.026-0.363-0.085-0.2970.1940.029-0.525-0.508-0.532-0.531-0.528-0.517-0.200-0.013-0.013-0.401-0.371-0.232-0.460-0.461-0.461-0.549-0.494-0.544-0.363-0.076-0.230-0.398-0.686-0.532-0.533-0.5330.000-0.467-0.444-0.435-0.596-0.532-0.506-0.509-0.626-0.427-0.176-0.4730.499-0.126-0.122-0.179-0.422-0.397-0.410-0.013-0.013-0.213-0.290-0.353-0.3020.246-0.195-0.372-0.172-0.135-0.066-0.2490.131-0.200-0.703-0.0770.1410.0240.2180.218-0.701-0.240-0.270-0.4800.0500.155-0.532-0.2990.014-0.012-0.014-0.556-0.495-0.549-0.346-0.013-0.0080.2670.246-0.013-0.0130.014-0.013-0.013-0.0131.000
Blades PitchAngle Max. [°]0.006-0.006-0.006-0.0950.3570.123-0.045-0.083-0.531-0.539-0.452-0.468-0.006-0.0550.8821.0000.752-0.1910.0580.0820.015-0.459-0.125-0.3590.1920.014-0.587-0.573-0.595-0.594-0.589-0.581-0.275-0.006-0.006-0.439-0.434-0.280-0.531-0.533-0.533-0.616-0.601-0.520-0.448-0.099-0.280-0.492-0.719-0.601-0.601-0.6010.866-0.533-0.552-0.424-0.750-0.598-0.615-0.489-0.784-0.492-0.316-0.3920.428-0.115-0.106-0.189-0.489-0.461-0.474-0.006-0.006-0.211-0.362-0.410-0.3720.227-0.186-0.398-0.182-0.123-0.066-0.2320.117-0.187-0.754-0.2460.109-0.0140.3570.357-0.724-0.299-0.310-0.511-0.0780.083-0.598-0.3990.006-0.004-0.007-0.611-0.601-0.532-0.418-0.0060.0030.2910.226-0.006-0.0060.007-0.006-0.006-0.0061.000
Blades PitchAngle Min. [°]0.020-0.021-0.021-0.0970.3570.054-0.074-0.033-0.362-0.300-0.430-0.080-0.020-0.0810.9270.7521.0000.2500.0340.0620.018-0.291-0.056-0.2160.1960.035-0.412-0.392-0.418-0.419-0.415-0.403-0.149-0.021-0.021-0.308-0.275-0.157-0.349-0.349-0.350-0.431-0.335-0.503-0.159-0.075-0.163-0.317-0.677-0.416-0.417-0.4190.866-0.352-0.300-0.399-0.404-0.419-0.364-0.495-0.432-0.3360.004-0.5810.634-0.110-0.101-0.125-0.321-0.299-0.310-0.020-0.020-0.191-0.186-0.248-0.1970.250-0.194-0.242-0.269-0.132-0.059-0.2510.130-0.199-0.6280.0290.1280.0420.3570.357-0.689-0.113-0.313-0.4460.1490.258-0.419-0.1960.021-0.019-0.021-0.436-0.339-0.503-0.151-0.020-0.0190.2320.250-0.020-0.0200.021-0.020-0.020-0.0201.000
Blades PitchAngle StdDev [°]0.021-0.021-0.0220.0010.040-0.110-0.0070.0340.3400.3990.1950.538-0.022-0.0030.095-0.1910.2501.000-0.065-0.0570.0700.4310.1900.331-0.1030.0290.3830.3950.3750.3860.3850.3760.406-0.021-0.0220.3030.3720.2930.3970.3970.3960.3910.4900.2510.2450.1900.2790.4100.2470.3970.3980.3990.0000.3520.4300.1230.3980.3910.4650.1650.4300.5120.681-0.0100.090-0.055-0.0670.0330.3690.3570.362-0.022-0.0220.0030.3390.2910.336-0.0800.0430.2250.1510.006-0.0080.081-0.0100.0740.2350.4680.1070.1660.0400.0400.3260.3280.1370.4400.3370.3620.3910.5630.023-0.022-0.0220.3800.4840.2620.203-0.022-0.034-0.164-0.079-0.022-0.0220.023-0.022-0.022-0.0221.000
Controller Ground Temp. Avg. [°C]-0.7460.7440.7450.0420.4080.9060.1630.040-0.196-0.186-0.196-0.1380.7450.1550.0450.0580.034-0.0651.0000.6540.7070.0850.6250.201-0.058-0.001-0.133-0.149-0.153-0.156-0.167-0.1540.0630.7440.7450.0420.0860.285-0.110-0.117-0.115-0.172-0.164-0.169-0.0230.6190.3730.064-0.115-0.155-0.155-0.1590.500-0.197-0.195-0.202-0.141-0.200-0.195-0.194-0.125-0.099-0.122-0.0510.028-0.098-0.125-0.1170.0370.0590.0490.7450.7450.4630.1090.1670.127-0.0770.028-0.1590.0840.0460.0120.076-0.0420.098-0.165-0.034-0.0610.7120.4080.408-0.143-0.1760.060-0.106-0.0920.066-0.200-0.119-0.7440.7440.745-0.170-0.164-0.170-0.0150.7450.7300.843-0.0780.7450.745-0.7440.7450.7450.7451.000
Controller Hub Temp. Avg. [°C]-0.5290.5280.5290.0540.4120.6410.0650.002-0.208-0.195-0.211-0.1440.5290.0580.0750.0820.062-0.0570.6541.0000.5370.0050.4280.116-0.039-0.006-0.162-0.174-0.180-0.181-0.192-0.180-0.0020.5280.5290.0160.0260.194-0.132-0.137-0.135-0.190-0.180-0.191-0.0160.4680.2870.007-0.131-0.181-0.181-0.1840.500-0.211-0.210-0.216-0.166-0.217-0.210-0.218-0.146-0.099-0.121-0.0590.037-0.063-0.071-0.079-0.0160.003-0.0050.5290.5290.4140.0670.1010.076-0.0660.024-0.1770.0910.0570.0220.066-0.0530.095-0.179-0.030-0.0040.5250.4120.412-0.151-0.1920.063-0.112-0.1040.073-0.216-0.124-0.5290.5280.529-0.190-0.180-0.191-0.0140.5290.5050.753-0.0670.5290.529-0.5290.5290.5290.5291.000
Controller Top Temp. Avg. [°C]-0.8040.8040.8040.0330.4080.7700.074-0.0020.0860.0810.0850.0810.8040.0830.0260.0150.0180.0700.7070.5371.0000.4020.8500.4610.0190.0040.1480.1320.1240.1200.1110.1280.3120.8040.8040.3060.3890.5310.1910.1840.1860.0790.0800.066-0.0020.9310.6160.3340.0440.1050.1070.1030.5000.0880.0830.0750.0130.0650.0620.068-0.0000.0180.027-0.0040.006-0.085-0.148-0.0720.3130.3300.3200.8040.8040.6770.4230.3920.420-0.0030.0090.060-0.0230.0350.0080.005-0.0350.0210.0430.0140.0070.9180.4080.4080.0210.083-0.0260.0310.073-0.0030.0650.054-0.8030.8020.8040.0750.0810.063-0.0010.8040.7750.623-0.0030.8040.804-0.8030.8040.8040.8041.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.2490.2500.2500.0910.4120.0920.0560.0190.7410.7330.6950.6590.2500.080-0.363-0.459-0.2910.4310.0850.0050.4021.0000.6700.833-0.0940.0070.8350.8300.8230.8260.8240.8290.6930.2500.2500.7110.8610.7810.8730.8740.8740.7740.7590.7070.1860.5310.7150.8780.6180.7900.7920.7910.5000.7580.7530.6900.5960.7860.7790.7230.6120.3820.3990.212-0.191-0.081-0.1230.0810.8560.8470.8500.2500.2500.2840.8350.7970.833-0.1280.0910.608-0.1260.0980.0540.134-0.0940.1380.6520.2580.0560.5510.4120.4120.6260.664-0.0560.4320.342-0.1470.7860.456-0.2460.2480.2490.7670.7590.7120.1540.2500.224-0.136-0.1280.2500.250-0.2450.2500.2500.2501.000
Controller VCP Temp. Avg. [°C]-0.7210.7210.7210.0220.4080.6750.0790.0250.3400.3370.3180.3130.7210.091-0.085-0.125-0.0560.1900.6250.4280.8500.6701.0000.7270.0430.0070.4060.3950.3840.3800.3760.3930.4470.7210.7210.4920.6230.7560.4770.4700.4720.3300.3270.2970.0430.8440.7580.6110.2120.3490.3510.3480.5000.3490.3470.3070.2490.3270.3240.3060.2180.1690.1920.066-0.040-0.105-0.165-0.0220.5880.6020.5920.7210.7210.5370.6460.6400.6490.0250.0260.291-0.1240.024-0.005-0.024-0.028-0.0420.2540.097-0.0230.9240.4080.4080.2090.325-0.1060.1960.177-0.0450.3280.224-0.7190.7190.7200.3240.3280.2960.0330.7210.6860.4900.0250.7210.721-0.7190.7210.7210.7211.000
Controller VCP WaterTemp. Avg. [°C]-0.2890.2890.2890.0470.4080.2090.0260.0290.7430.7320.7040.6410.2890.044-0.297-0.359-0.2160.3310.2010.1160.4610.8330.7271.000-0.0050.0120.8020.7960.7880.7860.7830.7950.6240.2890.2890.7720.8620.9690.8640.8580.8600.7450.7340.6940.1460.5550.7720.9430.4960.7560.7580.7570.5000.7510.7430.6950.5670.7520.7420.7050.5490.3290.3830.146-0.088-0.064-0.1040.1190.9510.9610.9550.2890.2890.3190.8670.8490.871-0.0360.0740.671-0.2980.0650.0090.037-0.0670.0140.5830.1720.0500.6260.4080.4080.4990.718-0.2360.3770.326-0.1340.7530.415-0.2870.2870.2890.7420.7340.6950.1180.2890.2580.003-0.0350.2890.289-0.2860.2890.2890.2891.000
First Alarm parameter 1 in 10 min frame0.044-0.045-0.044-0.1190.000-0.046-0.0470.0210.1180.1110.1150.096-0.044-0.0410.1940.1920.196-0.103-0.058-0.0390.019-0.0940.043-0.0051.0000.144-0.117-0.109-0.111-0.127-0.119-0.096-0.142-0.044-0.044-0.0050.008-0.013-0.034-0.037-0.035-0.156-0.119-0.171-0.033-0.035-0.011-0.055-0.185-0.138-0.141-0.1400.0000.1140.1010.100-0.029-0.121-0.109-0.126-0.1260.0090.031-0.0070.0360.0480.0450.032-0.046-0.042-0.054-0.044-0.044-0.087-0.037-0.067-0.0490.786-0.477-0.074-0.101-0.0020.005-0.767-0.005-0.477-0.061-0.032-0.039-0.0390.0000.000-0.191-0.062-0.0930.011-0.015-0.024-0.1210.0090.043-0.045-0.045-0.160-0.120-0.175-0.032-0.044-0.0440.0170.785-0.044-0.0440.042-0.044-0.044-0.0441.000
First Alarm parameter 2 in 10 min frame0.003-0.003-0.003-0.0280.000-0.0060.0050.0150.0130.0160.0040.020-0.003-0.0000.0290.0140.0350.029-0.001-0.0060.0040.0070.0070.0120.1441.0000.0070.0090.0060.0070.0060.0090.006-0.003-0.0030.0120.0120.0120.0110.0110.011-0.0070.009-0.0300.0210.0080.0160.011-0.0040.0020.0020.0030.0000.0120.014-0.0070.0090.0050.009-0.0290.014-0.0110.025-0.0260.030-0.006-0.005-0.0040.0100.0110.011-0.003-0.003-0.0100.0140.0110.0140.137-0.0920.000-0.010-0.0660.001-0.1340.022-0.0600.0080.0170.0030.0050.0000.000-0.0290.009-0.005-0.0110.0140.0080.005-0.0100.003-0.003-0.003-0.0070.009-0.0310.022-0.003-0.003-0.0030.139-0.003-0.0030.003-0.003-0.003-0.0031.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.019-0.018-0.0190.0950.415-0.1620.0020.0210.9350.9210.8800.796-0.0180.022-0.525-0.587-0.4120.383-0.133-0.1620.1480.8350.4060.802-0.1170.0071.0000.9950.9970.9960.9930.9950.695-0.018-0.0190.8010.8700.7210.9720.9720.9730.9740.9530.9050.2860.3170.6250.8820.7070.9770.9780.9780.5000.9410.9310.8760.7610.9770.9640.9040.7760.4210.4650.211-0.154-0.021-0.0370.1970.9240.9060.916-0.018-0.0180.1770.8450.8170.849-0.1550.1330.848-0.3170.1130.0560.161-0.1100.1410.7980.2190.0980.3050.4150.4150.7090.878-0.2120.4720.387-0.1870.9780.5000.020-0.020-0.0190.9710.9530.9110.249-0.018-0.035-0.387-0.155-0.018-0.0180.020-0.018-0.018-0.0181.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.034-0.033-0.0330.0940.413-0.1780.0000.0230.9310.9180.8720.799-0.0330.020-0.508-0.573-0.3920.395-0.149-0.1740.1320.8300.3950.796-0.1090.0090.9951.0000.9940.9930.9920.9930.693-0.033-0.0330.7990.8670.7150.9720.9730.9730.9680.9510.8990.2860.3010.6170.8740.6870.9690.9710.9710.5000.9360.9300.8660.7590.9710.9610.8940.7730.4300.4810.198-0.135-0.022-0.0370.1970.9180.9010.911-0.033-0.0330.1620.8430.8150.847-0.1460.1280.850-0.3260.1110.0540.151-0.1080.1320.7790.2250.0980.2910.4130.4130.6940.881-0.2240.4800.389-0.1710.9720.5110.035-0.035-0.0330.9670.9510.9050.249-0.033-0.049-0.400-0.145-0.033-0.0330.035-0.033-0.033-0.0331.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.040-0.039-0.0400.0930.413-0.183-0.0010.0200.9390.9250.8840.798-0.0400.020-0.532-0.595-0.4180.375-0.153-0.1800.1240.8230.3840.788-0.1110.0060.9970.9941.0000.9960.9930.9960.694-0.039-0.0400.7920.8590.7030.9660.9670.9670.9750.9530.9050.2870.2930.6080.8730.7070.9780.9790.9790.5000.9440.9350.8820.7670.9790.9660.9080.7810.4190.4620.214-0.158-0.018-0.0330.2000.9150.8960.907-0.040-0.0400.1620.8320.8040.835-0.1470.1280.849-0.3200.1090.0550.152-0.1060.1310.8050.2140.0990.2800.4130.4130.7080.877-0.2110.4690.385-0.1940.9800.4960.041-0.041-0.0400.9720.9530.9120.250-0.039-0.056-0.406-0.146-0.039-0.0400.041-0.039-0.039-0.0391.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.042-0.042-0.0420.0950.413-0.1860.0020.0180.9350.9200.8810.794-0.0420.021-0.531-0.594-0.4190.386-0.156-0.1810.1200.8260.3800.786-0.1270.0070.9960.9930.9961.0000.9940.9920.692-0.042-0.0420.7880.8570.7010.9650.9660.9660.9770.9550.9090.2850.2910.6040.8730.7120.9800.9810.9820.5000.9400.9310.8770.7630.9810.9670.9090.7790.4260.4660.218-0.160-0.019-0.0340.1980.9140.8950.905-0.042-0.0420.1570.8290.8010.833-0.1660.1400.847-0.3100.1140.0580.171-0.1100.1460.8030.2180.1000.2770.4130.4130.7150.877-0.2050.4770.387-0.1890.9810.5030.044-0.044-0.0420.9750.9560.9160.248-0.042-0.058-0.409-0.165-0.042-0.0420.044-0.042-0.042-0.0421.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.051-0.051-0.0510.0900.411-0.1960.0020.0210.9290.9150.8740.790-0.0510.022-0.528-0.589-0.4150.385-0.167-0.1920.1110.8240.3760.783-0.1190.0060.9930.9920.9930.9941.0000.9910.696-0.051-0.0510.7870.8570.6980.9660.9670.9670.9700.9480.9050.2760.2790.5990.8680.7040.9710.9720.9730.5000.9350.9270.8690.7640.9730.9600.9020.7760.4360.4740.218-0.158-0.018-0.0330.1990.9090.8900.900-0.051-0.0510.1510.8270.8000.831-0.1550.1400.848-0.3130.1100.0530.161-0.1070.1300.7940.2210.0970.2670.4110.4110.7120.875-0.2130.4870.384-0.1810.9740.5130.053-0.053-0.0510.9680.9480.9110.240-0.051-0.066-0.418-0.155-0.051-0.0510.053-0.051-0.051-0.0511.000
Gear Oil TemperatureBasis Avg. [°C]0.040-0.039-0.0400.0920.418-0.1820.0000.0240.9330.9200.8760.796-0.0400.021-0.517-0.581-0.4030.376-0.154-0.1800.1280.8290.3930.795-0.0960.0090.9950.9930.9960.9920.9911.0000.697-0.039-0.0400.7960.8660.7120.9710.9720.9720.9650.9450.8950.2840.2950.6170.8730.6930.9680.9690.9690.5000.9390.9300.8740.7620.9700.9580.8980.7720.4190.4680.206-0.148-0.020-0.0350.1980.9160.8990.909-0.040-0.0400.1620.8400.8110.843-0.1330.1250.847-0.3270.1070.0520.138-0.1060.1170.7950.2160.0990.2860.4180.4180.6970.875-0.2210.4700.385-0.1870.9710.4980.041-0.041-0.0400.9620.9450.9020.248-0.039-0.056-0.403-0.132-0.039-0.0400.041-0.040-0.039-0.0391.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.1250.1260.1250.1220.4560.0750.0270.0020.5870.5760.5540.5180.1250.057-0.200-0.275-0.1490.4060.063-0.0020.3120.6930.4470.624-0.1420.0060.6950.6930.6940.6920.6960.6971.0000.1260.1250.5950.6890.5920.6750.6760.6760.6450.6370.6130.1240.4320.5870.6480.4320.6410.6430.6420.5000.5850.5850.5380.4260.6330.6290.5900.4530.2760.3360.114-0.071-0.091-0.1120.0620.6560.6520.6560.1250.1250.2260.6360.5960.636-0.1900.1570.514-0.1500.1310.0800.198-0.1230.1740.4430.1750.1940.4350.4560.4560.4590.584-0.1270.3170.306-0.0680.6340.366-0.1230.1240.1250.6420.6370.6160.0890.1250.104-0.103-0.1900.1260.125-0.1220.1250.1260.1251.000
Generator 1 hours [h]-1.0001.0001.0000.0420.0340.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.021-0.0210.7440.5280.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1261.0001.0000.1310.1980.3550.0130.0080.009-0.065-0.063-0.0660.0030.7240.4430.161-0.018-0.043-0.041-0.0440.020-0.083-0.084-0.095-0.058-0.090-0.087-0.084-0.051-0.044-0.062-0.0290.002-0.095-0.174-0.1490.1320.1480.1401.0001.0000.5190.2480.2670.252-0.0720.015-0.0630.0570.0460.0190.071-0.0440.105-0.0680.009-0.1570.7580.0340.034-0.051-0.0780.045-0.047-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9840.651-0.0731.0001.000-0.9991.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.0000.0420.0440.7930.1640.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.021-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.019-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.023-0.084-0.084-0.095-0.058-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.095-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0440.044-0.052-0.0780.045-0.048-0.0430.037-0.091-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.1310.1310.1310.0780.4080.0320.0010.0570.7520.7380.7070.6340.1310.017-0.401-0.439-0.3080.3030.0420.0160.3060.7110.4920.772-0.0050.0120.8010.7990.7920.7880.7870.7960.5950.1310.1311.0000.8470.7440.8340.8330.8330.7550.7480.7030.2480.4330.6520.7780.5210.7580.7600.7590.5000.7550.7460.6880.5890.7500.7440.6830.5940.3460.3970.134-0.074-0.034-0.0590.1420.8190.8160.8200.1310.1310.2920.7880.7680.792-0.0460.0270.695-0.2880.0830.0380.052-0.0820.0910.5930.1760.0290.4220.4080.4080.5260.707-0.2190.3810.296-0.1020.7510.405-0.1300.1280.1300.7550.7480.7060.2200.1310.107-0.159-0.0470.1310.131-0.1300.1310.1310.1311.000
Generator Bearing2 Temp. Avg. [°C]-0.1980.1980.1980.0790.4100.0860.0140.0400.8180.8090.7660.7140.1980.037-0.371-0.434-0.2750.3720.0860.0260.3890.8610.6230.8620.0080.0120.8700.8670.8590.8570.8570.8660.6890.1980.1980.8471.0000.8290.9120.9110.9110.8140.8070.7590.2230.5160.7370.8690.5570.8210.8220.8210.5000.8240.8170.7530.6300.8140.8090.7460.6370.3620.4290.137-0.079-0.038-0.0720.1530.8960.8930.8950.1980.1980.3040.8820.8470.882-0.0370.0140.735-0.3020.0900.0440.044-0.0880.0970.6310.2240.0660.5340.4100.4100.5640.769-0.2350.4060.350-0.1210.8150.445-0.1960.1960.1980.8120.8070.7620.1910.1980.177-0.127-0.0380.1980.198-0.1970.1980.1980.1981.000
Generator CoolingWater Temp. Avg. [°C]-0.3550.3550.3550.0670.4080.3020.0290.0360.6540.6440.6170.5690.3550.046-0.232-0.280-0.1570.2930.2850.1940.5310.7810.7560.969-0.0130.0120.7210.7150.7030.7010.6980.7120.5920.3550.3550.7440.8291.0000.7950.7880.7900.6570.6520.6140.1350.6080.7770.8860.4040.6670.6680.6670.5000.6600.6540.6090.4820.6580.6510.6120.4710.2650.3460.077-0.016-0.073-0.1120.0990.8990.9160.9090.3550.3550.3700.8360.8200.840-0.0480.0700.622-0.3150.0780.0260.051-0.0790.0430.4770.1540.0510.6880.4080.4080.4050.663-0.2700.3030.299-0.0970.6580.354-0.3530.3530.3550.6550.6520.6150.1110.3550.3230.116-0.0470.3550.355-0.3520.3550.3550.3551.000
Generator Phase1 Temp. Avg. [°C]-0.0120.0130.0120.0740.409-0.129-0.0100.0330.9190.9080.8610.7930.0120.010-0.460-0.531-0.3490.397-0.110-0.1320.1910.8730.4770.864-0.0340.0110.9720.9720.9660.9650.9660.9710.6750.0130.0120.8340.9120.7951.0000.9990.9990.9300.9150.8630.2550.3440.6730.9200.6630.9370.9380.9390.5000.9290.9220.8560.7430.9390.9300.8650.7420.4220.4820.190-0.130-0.023-0.0460.1920.9530.9420.9470.0120.0120.1910.8910.8620.893-0.0720.0750.834-0.3320.0890.0380.077-0.0890.0780.7570.2360.0660.3550.4090.4090.6690.866-0.2410.4720.385-0.1680.9400.506-0.0100.0100.0120.9270.9150.8670.2200.012-0.008-0.350-0.0720.0130.012-0.0100.0120.0120.0121.000
Generator Phase2 Temp. Avg. [°C]-0.0070.0080.0070.0770.408-0.137-0.0100.0320.9190.9080.8600.7940.0070.010-0.461-0.533-0.3490.397-0.117-0.1370.1840.8740.4700.858-0.0370.0110.9720.9730.9670.9660.9670.9720.6760.0080.0070.8330.9110.7880.9991.0000.9990.9310.9160.8620.2590.3380.6700.9150.6640.9380.9390.9390.5000.9290.9220.8560.7430.9390.9310.8650.7430.4190.4810.187-0.128-0.023-0.0450.1930.9490.9370.9430.0070.0070.1880.8900.8610.892-0.0750.0730.835-0.3330.0890.0400.080-0.0880.0840.7570.2380.0680.3480.4080.4080.6690.866-0.2410.4680.386-0.1690.9400.503-0.0050.0050.0070.9280.9160.8670.2230.007-0.013-0.357-0.0740.0070.007-0.0050.0070.0070.0071.000
Generator Phase3 Temp. Avg. [°C]-0.0080.0090.0080.0750.409-0.135-0.0100.0320.9200.9090.8610.7940.0080.010-0.461-0.533-0.3500.396-0.115-0.1350.1860.8740.4720.860-0.0350.0110.9730.9730.9670.9660.9670.9720.6760.0090.0080.8330.9110.7900.9990.9991.0000.9310.9160.8620.2580.3400.6710.9170.6640.9380.9390.9390.5000.9300.9220.8570.7440.9400.9310.8650.7430.4200.4810.189-0.129-0.023-0.0450.1920.9510.9390.9450.0080.0080.1880.8900.8610.892-0.0730.0740.834-0.3320.0890.0390.079-0.0890.0810.7580.2370.0680.3500.4090.4090.6700.866-0.2400.4690.385-0.1690.9400.504-0.0060.0060.0080.9280.9160.8670.2230.008-0.012-0.355-0.0730.0090.008-0.0060.0080.0080.0081.000
Generator RPM Avg. [RPM]0.065-0.065-0.0650.0930.085-0.208-0.0070.0230.9350.9220.8800.797-0.0650.010-0.549-0.616-0.4310.391-0.172-0.1900.0790.7740.3300.745-0.156-0.0070.9740.9680.9750.9770.9700.9650.645-0.065-0.0650.7550.8140.6570.9300.9310.9311.0000.9690.9260.2960.2520.5550.8400.7120.9810.9820.9830.0130.9320.9280.8630.7730.9820.9710.9040.7940.4340.4670.224-0.163-0.012-0.0250.2040.8880.8670.879-0.065-0.0650.1360.7870.7640.792-0.2010.1610.844-0.3000.1250.0670.206-0.1190.1780.7880.2200.0920.2350.0850.0850.7190.873-0.1950.4800.384-0.1750.9820.5050.066-0.066-0.0640.9940.9690.9330.256-0.065-0.078-0.425-0.201-0.065-0.0650.066-0.065-0.065-0.0651.000
Generator RPM Max. [RPM]0.063-0.063-0.0640.0820.089-0.211-0.0250.0340.9220.9310.8340.856-0.064-0.009-0.494-0.601-0.3350.490-0.164-0.1800.0800.7590.3270.734-0.1190.0090.9530.9510.9530.9550.9480.9450.637-0.063-0.0640.7480.8070.6520.9150.9160.9160.9691.0000.8550.4260.2490.5580.8210.6380.9690.9690.9690.0130.9230.9440.8110.8040.9660.9840.8340.8300.4360.5650.116-0.052-0.010-0.0160.2090.8720.8520.864-0.064-0.0640.1190.7840.7540.788-0.1580.1210.835-0.3200.1110.0600.164-0.1080.1600.7470.3060.0970.2400.0890.0890.6480.871-0.2050.4560.419-0.0690.9660.5220.065-0.065-0.0630.9640.9990.8650.384-0.064-0.079-0.404-0.157-0.064-0.0640.065-0.064-0.064-0.0641.000
Generator RPM Min. [RPM]0.066-0.066-0.0660.0890.357-0.1850.024-0.0010.8670.8190.8870.616-0.0660.040-0.544-0.520-0.5030.251-0.169-0.1910.0660.7070.2970.694-0.171-0.0300.9050.8990.9050.9090.9050.8950.613-0.066-0.0660.7030.7590.6140.8630.8620.8620.9260.8551.0000.0710.2300.4940.7680.7000.9050.9070.9090.8660.8570.8220.8640.6490.9100.8670.9240.6660.3830.3420.341-0.260-0.017-0.0380.1830.8250.8080.819-0.066-0.0660.1340.7300.7120.735-0.2210.1710.819-0.2850.1210.0560.223-0.1190.1810.7090.1000.0780.2090.3570.3570.7250.830-0.2500.4710.305-0.2660.9090.4370.067-0.067-0.0660.9330.8580.9960.040-0.066-0.074-0.412-0.221-0.066-0.0660.067-0.066-0.066-0.0661.000
Generator RPM StdDev [RPM]-0.0040.0030.0030.0420.000-0.078-0.0420.1070.2850.3380.1450.4450.003-0.041-0.363-0.448-0.1590.245-0.023-0.016-0.0020.1860.0430.146-0.0330.0210.2860.2860.2870.2850.2760.2840.1240.0030.0030.2480.2230.1350.2550.2590.2580.2960.4260.0711.0000.0510.1790.1670.1060.3060.3040.3020.0000.2830.3450.1290.4370.2910.3610.0930.4680.1450.404-0.2260.2080.0690.1030.1140.2130.2030.2110.0030.0030.0540.1780.1900.181-0.0460.0160.238-0.0840.0570.0450.053-0.0580.0980.3140.286-0.0220.0140.0000.0000.1200.1770.0810.0580.1470.1990.2910.155-0.0030.0020.0030.2820.4240.0840.9830.003-0.005-0.107-0.0460.0030.003-0.0040.0030.0030.0031.000
Generator SlipRing Temp. Avg. [°C]-0.7250.7240.7250.0690.4090.6740.068-0.0150.2400.2320.2350.2060.7250.077-0.076-0.099-0.0750.1900.6190.4680.9310.5310.8440.555-0.0350.0080.3170.3010.2930.2910.2790.2950.4320.7240.7250.4330.5160.6080.3440.3380.3400.2520.2490.2300.0511.0000.6900.4690.2040.2760.2780.2740.5000.2430.2340.2130.1230.2370.2300.2220.1310.1340.1260.067-0.059-0.095-0.153-0.0470.4470.4580.4520.7250.7250.7190.5310.4970.529-0.0700.0450.1730.0060.0770.0360.074-0.0740.0970.1860.0820.0420.9110.4090.4090.1930.2080.0080.1580.132-0.0150.2380.173-0.7230.7220.7240.2460.2490.2290.0430.7250.6950.498-0.0700.7250.725-0.7230.7250.7250.7251.000
Grid Busbar Temp. Avg. [°C]-0.4420.4430.4430.0710.4080.3860.0210.0280.5560.5580.5070.5130.4430.030-0.230-0.280-0.1630.2790.3730.2870.6160.7150.7580.772-0.0110.0160.6250.6170.6080.6040.5990.6170.5870.4430.4430.6520.7370.7770.6730.6700.6710.5550.5580.4940.1790.6901.0000.7070.3790.5720.5740.5710.5000.5590.5540.4980.4020.5450.5420.4930.3980.2400.2920.078-0.052-0.082-0.1130.0600.7180.7260.7240.4430.4430.4440.7730.7580.777-0.0350.0240.483-0.1890.0590.0280.038-0.0570.0610.4340.1640.0820.7300.4080.4080.3680.516-0.1410.2710.249-0.0760.5450.305-0.4400.4400.4420.5500.5580.4970.1570.4430.4120.194-0.0350.4430.443-0.4390.4430.4430.4431.000
Grid InverterPhase1 Temp. Avg. [°C]-0.1610.1610.1610.0660.4080.0530.0250.0190.8250.8120.7810.7130.1610.044-0.398-0.492-0.3170.4100.0640.0070.3340.8780.6110.943-0.0550.0110.8820.8740.8730.8730.8680.8730.6480.1610.1610.7780.8690.8860.9200.9150.9170.8400.8210.7680.1670.4690.7071.0000.6520.8570.8580.8570.5000.8380.8290.7770.6540.8580.8450.8030.6490.4070.4080.252-0.219-0.054-0.0910.1340.9720.9670.9650.1610.1610.2570.8540.8320.858-0.0920.1120.678-0.1900.0910.0280.094-0.0920.0650.7290.2230.0600.4960.4080.4080.6520.738-0.1070.4660.340-0.1750.8580.480-0.1590.1590.1610.8330.8200.7740.1320.1610.134-0.159-0.0910.1610.161-0.1590.1610.1610.1611.000
Grid Production CosPhi Avg.0.019-0.018-0.0190.0980.061-0.1500.0680.0230.6550.6260.6380.466-0.0190.083-0.686-0.719-0.6770.247-0.115-0.1310.0440.6180.2120.496-0.185-0.0040.7070.6870.7070.7120.7040.6930.432-0.018-0.0190.5210.5570.4040.6630.6640.6640.7120.6380.7000.1060.2040.3790.6521.0000.7220.7230.7230.0650.6580.6170.6160.6040.7230.6820.6970.6360.4770.2020.588-0.6500.0440.0240.1370.6250.5970.608-0.019-0.0190.1380.4760.4790.481-0.2280.1720.4490.2490.1270.0650.234-0.1220.2040.7990.190-0.0030.1030.0610.0610.9400.4350.2880.5430.187-0.3330.7230.4280.019-0.021-0.0180.7090.6410.7050.085-0.019-0.025-0.359-0.228-0.019-0.0190.019-0.019-0.019-0.0191.000
Grid Production CurrentPhase1 Avg. [A]0.043-0.043-0.0430.0900.026-0.191-0.0040.0120.9400.9280.8850.806-0.0430.012-0.532-0.601-0.4160.397-0.155-0.1810.1050.7900.3490.756-0.1380.0020.9770.9690.9780.9800.9710.9680.641-0.043-0.0430.7580.8210.6670.9370.9380.9380.9810.9690.9050.3060.2760.5720.8570.7221.0000.9990.9990.0000.9470.9400.8840.7680.9890.9780.9080.7920.4020.4600.200-0.152-0.020-0.0330.1950.8980.8760.888-0.043-0.0430.1420.8070.7780.811-0.1780.1330.843-0.3060.1180.0640.184-0.1140.1770.8060.2340.0910.2600.0260.0260.7040.878-0.1920.4480.399-0.1860.9890.4830.045-0.044-0.0430.9780.9690.9120.270-0.043-0.058-0.417-0.177-0.043-0.0430.044-0.043-0.043-0.0431.000
Grid Production CurrentPhase2 Avg. [A]0.041-0.041-0.0410.0910.026-0.189-0.0030.0110.9390.9270.8850.805-0.0410.013-0.533-0.601-0.4170.398-0.155-0.1810.1070.7920.3510.758-0.1410.0020.9780.9710.9790.9810.9720.9690.643-0.041-0.0410.7600.8220.6680.9380.9390.9390.9820.9690.9070.3040.2780.5740.8580.7230.9991.0001.0000.0080.9470.9390.8830.7680.9900.9790.9100.7920.4060.4620.203-0.154-0.020-0.0340.1960.8990.8770.889-0.041-0.0410.1440.8080.7790.812-0.1800.1350.845-0.3060.1170.0640.186-0.1130.1760.8060.2320.0900.2620.0260.0260.7080.880-0.1930.4520.399-0.1860.9900.4860.043-0.042-0.0410.9790.9690.9150.269-0.041-0.055-0.417-0.179-0.041-0.0410.043-0.041-0.041-0.0411.000
Grid Production CurrentPhase3 Avg. [A]0.044-0.044-0.0450.0910.026-0.193-0.0040.0110.9400.9270.8850.804-0.0450.012-0.533-0.601-0.4190.399-0.159-0.1840.1030.7910.3480.757-0.1400.0030.9780.9710.9790.9820.9730.9690.642-0.044-0.0450.7590.8210.6670.9390.9390.9390.9830.9690.9090.3020.2740.5710.8570.7230.9991.0001.0000.0000.9470.9390.8830.7680.9900.9790.9110.7920.4080.4630.206-0.156-0.021-0.0340.1940.8990.8770.888-0.045-0.0450.1390.8060.7770.810-0.1810.1370.845-0.3030.1190.0640.187-0.1150.1780.8060.2320.0910.2570.0260.0260.7100.880-0.1920.4550.399-0.1870.9900.4880.046-0.046-0.0450.9800.9690.9160.268-0.045-0.059-0.421-0.180-0.044-0.0450.046-0.045-0.044-0.0441.000
Grid Production Frequency Avg. [Hz]0.0240.0230.0250.1730.3530.0350.0000.0000.0070.0130.8660.0100.0250.0230.0000.8660.8660.0000.5000.5000.5000.5000.5000.5000.0000.0000.5000.5000.5000.5000.5000.5000.5000.0200.0230.5000.5000.5000.5000.5000.5000.0130.0130.8660.0000.5000.5000.5000.0650.0000.0080.0001.0000.0000.0090.0000.0000.0120.5770.0640.0000.0000.0000.0000.0001.0001.0001.0000.5000.5000.5000.0230.0240.5000.5000.5000.5000.0000.0570.0000.0000.0840.3780.0440.0000.0550.0000.0000.5000.5000.3530.3530.0000.0080.0000.0000.0000.0000.0080.0000.0260.0210.0260.0130.0110.8660.0000.0230.0160.5000.0000.0230.0230.0250.0240.0210.0261.000
Grid Production PossiblePower Avg. [W]0.084-0.083-0.0840.0080.011-0.230-0.0200.0280.9910.9770.9320.848-0.084-0.003-0.467-0.533-0.3520.352-0.197-0.2110.0880.7580.3490.7510.1140.0120.9410.9360.9440.9400.9350.9390.585-0.083-0.0840.7550.8240.6600.9290.9290.9300.9320.9230.8570.2830.2430.5590.8380.6580.9470.9470.9470.0001.0000.9850.9300.7670.9520.9410.8780.7430.4030.4620.204-0.1410.003-0.0090.2170.8830.8620.871-0.084-0.0840.0910.7890.7500.7890.085-0.0750.823-0.3470.0210.012-0.080-0.022-0.0120.7970.2130.0760.2240.0110.0110.6490.861-0.2310.4500.394-0.2040.9520.4850.085-0.085-0.0840.9280.9230.8630.249-0.084-0.098-0.4250.084-0.084-0.0840.085-0.084-0.084-0.0841.000
Grid Production PossiblePower Max. [W]0.084-0.084-0.0840.0150.036-0.238-0.0310.0420.9730.9800.8860.894-0.084-0.013-0.444-0.552-0.3000.430-0.195-0.2100.0830.7530.3470.7430.1010.0140.9310.9300.9350.9310.9270.9300.585-0.084-0.0840.7460.8170.6540.9220.9220.9220.9280.9440.8220.3450.2340.5540.8290.6170.9400.9390.9390.0090.9851.0000.8800.8250.9430.9580.8350.7980.4310.5370.145-0.0810.005-0.0050.2230.8740.8530.862-0.084-0.0840.0960.7890.7500.7890.084-0.0620.822-0.3540.0170.030-0.073-0.014-0.0180.7740.2840.0720.2240.0360.0360.6190.860-0.2330.4640.415-0.1290.9430.5200.085-0.085-0.0840.9220.9430.8300.306-0.084-0.100-0.4200.084-0.084-0.0840.085-0.084-0.084-0.0841.000
Grid Production PossiblePower Min. [W]0.095-0.095-0.0950.0410.020-0.212-0.015-0.0120.9250.8800.9480.683-0.0950.003-0.435-0.424-0.3990.123-0.202-0.2160.0750.6900.3070.6950.100-0.0070.8760.8660.8820.8770.8690.8740.538-0.095-0.0950.6880.7530.6090.8560.8560.8570.8630.8110.8640.1290.2130.4980.7770.6160.8840.8830.8830.0000.9300.8801.0000.5970.8860.8420.9340.5800.2010.2340.235-0.195-0.014-0.0280.1860.8190.8010.809-0.095-0.0950.0730.7340.6960.7330.050-0.0410.787-0.4070.0600.046-0.042-0.0540.0260.7500.0410.0890.2010.0200.0200.5800.820-0.3100.3010.321-0.3900.8860.2940.096-0.096-0.0950.8590.8130.8660.104-0.095-0.105-0.4120.049-0.095-0.0950.096-0.095-0.095-0.0951.000
Grid Production PossiblePower StdDev [W]0.058-0.058-0.058-0.0100.000-0.212-0.0060.1000.7530.7900.6130.787-0.0590.006-0.596-0.750-0.4040.398-0.141-0.1660.0130.5960.2490.567-0.0290.0090.7610.7590.7670.7630.7640.7620.426-0.058-0.0580.5890.6300.4820.7430.7430.7440.7730.8040.6490.4370.1230.4020.6540.6040.7680.7680.7680.0000.7670.8250.5971.0000.7760.8280.6120.9630.5000.5440.181-0.1440.0710.0620.2420.6960.6740.683-0.059-0.0590.1820.6100.6190.614-0.0060.0410.677-0.192-0.027-0.0100.0060.026-0.0500.7180.360-0.0500.1130.0000.0000.6200.640-0.0700.5050.318-0.0480.7760.5220.059-0.060-0.0580.7720.8020.6590.401-0.059-0.073-0.359-0.004-0.059-0.0590.058-0.059-0.059-0.0591.000
Grid Production Power Avg. [W]0.090-0.090-0.0900.0630.019-0.237-0.0050.0150.9440.9300.8910.803-0.0900.014-0.532-0.598-0.4190.391-0.200-0.2170.0650.7860.3270.752-0.1210.0050.9770.9710.9790.9810.9730.9700.633-0.090-0.0900.7500.8140.6580.9390.9390.9400.9820.9660.9100.2910.2370.5450.8580.7230.9890.9900.9900.0120.9520.9430.8860.7761.0000.9850.9190.7920.4360.4760.231-0.168-0.011-0.0210.2070.8980.8750.887-0.090-0.0900.1150.7840.7550.788-0.1550.1320.844-0.3040.0930.0380.157-0.0930.1260.8150.2230.0930.2190.0190.0190.7260.879-0.1900.4850.399-0.1941.0000.5120.092-0.092-0.0900.9780.9660.9170.257-0.090-0.105-0.440-0.154-0.090-0.0900.092-0.090-0.090-0.0901.000
Grid Production Power Max. [W]0.087-0.087-0.0870.0640.354-0.242-0.0180.0290.9310.9370.8500.851-0.0870.000-0.506-0.615-0.3640.465-0.195-0.2100.0620.7790.3240.742-0.1090.0090.9640.9610.9660.9670.9600.9580.629-0.087-0.0870.7440.8090.6510.9300.9310.9310.9710.9840.8670.3610.2300.5420.8450.6820.9780.9790.9790.5770.9410.9580.8420.8280.9851.0000.8680.8460.4510.5430.166-0.105-0.007-0.0150.2130.8860.8640.875-0.087-0.0870.1160.7840.7540.787-0.1400.1190.839-0.3100.0920.0440.145-0.0900.1250.7890.2970.0910.2190.3540.3540.6890.874-0.1920.4840.420-0.1220.9860.5350.089-0.089-0.0870.9650.9830.8760.323-0.087-0.103-0.430-0.139-0.087-0.0870.088-0.087-0.087-0.0871.000
Grid Production Power Min. [W]0.084-0.084-0.0840.0610.039-0.2080.006-0.0180.8740.8310.8960.640-0.0840.026-0.509-0.489-0.4950.165-0.194-0.2180.0680.7230.3060.705-0.126-0.0290.9040.8940.9080.9090.9020.8980.590-0.084-0.0840.6830.7460.6120.8650.8650.8650.9040.8340.9240.0930.2220.4930.8030.6970.9080.9100.9110.0640.8780.8350.9340.6120.9190.8681.0000.6060.2600.2480.323-0.306-0.027-0.0420.1710.8340.8140.822-0.084-0.0840.1030.7280.7000.731-0.1660.1470.783-0.3170.0880.0320.165-0.0870.1090.7660.0640.0970.2070.0390.0390.6910.811-0.2520.3920.274-0.3890.9190.3410.086-0.086-0.0840.9010.8360.9270.066-0.084-0.095-0.420-0.166-0.084-0.0840.086-0.084-0.084-0.0841.000
Grid Production Power StdDev [W]0.051-0.051-0.0510.0740.005-0.203-0.0050.0820.7290.7650.5960.764-0.0510.008-0.626-0.784-0.4320.430-0.125-0.146-0.0000.6120.2180.549-0.1260.0140.7760.7730.7810.7790.7760.7720.453-0.051-0.0510.5940.6370.4710.7420.7430.7430.7940.8300.6660.4680.1310.3980.6490.6360.7920.7920.7920.0000.7430.7980.5800.9630.7920.8460.6061.0000.4750.5300.147-0.1160.0640.0580.2330.6900.6670.680-0.051-0.0510.1860.6120.6220.617-0.1510.1120.683-0.1630.0970.0550.157-0.0950.1550.6940.384-0.0250.1150.0050.0050.6420.646-0.0390.4710.326-0.0290.7920.4980.051-0.052-0.0510.7930.8290.6770.432-0.051-0.064-0.355-0.150-0.051-0.0510.051-0.051-0.051-0.0511.000
Grid Production ReactivePower Avg. [W]0.045-0.044-0.045-0.0260.000-0.1390.0370.0670.4000.4020.3220.361-0.0450.043-0.427-0.492-0.3360.512-0.099-0.0990.0180.3820.1690.3290.009-0.0110.4210.4300.4190.4260.4360.4190.276-0.044-0.0450.3460.3620.2650.4220.4190.4200.4340.4360.3830.1450.1340.2400.4070.4770.4020.4060.4080.0000.4030.4310.2010.5000.4360.4510.2600.4751.0000.6210.426-0.2550.0610.0490.1120.3970.3780.381-0.045-0.0450.0880.2540.2620.258-0.0170.1250.2340.3170.021-0.0420.007-0.021-0.1110.4720.294-0.0450.0380.0000.0000.5980.2270.3520.9170.1790.3310.4360.8860.044-0.046-0.0440.4400.4360.3820.115-0.045-0.054-0.236-0.015-0.045-0.0450.044-0.045-0.045-0.0451.000
Grid Production ReactivePower Max. [W]0.062-0.062-0.062-0.0270.001-0.170-0.0330.1010.4480.4920.3180.546-0.062-0.026-0.176-0.3160.0040.681-0.122-0.1210.0270.3990.1920.3830.0310.0250.4650.4810.4620.4660.4740.4680.336-0.062-0.0620.3970.4290.3460.4820.4810.4810.4670.5650.3420.4040.1260.2920.4080.2020.4600.4620.4630.0000.4620.5370.2340.5440.4760.5430.2480.5300.6211.000-0.1210.2190.0340.0380.1500.4390.4300.434-0.062-0.0620.0430.3860.3640.3860.0530.0350.430-0.083-0.019-0.003-0.0450.017-0.0970.3240.5810.0230.1050.0010.0010.3050.447-0.0490.5450.3560.4050.4760.6720.063-0.063-0.0620.4670.5610.3480.372-0.062-0.076-0.2210.056-0.062-0.0620.063-0.062-0.062-0.0621.000
Grid Production ReactivePower Min. [W]0.029-0.029-0.029-0.0180.000-0.0510.096-0.0200.2180.1570.285-0.016-0.0290.103-0.473-0.392-0.581-0.010-0.051-0.059-0.0040.2120.0660.146-0.007-0.0260.2110.1980.2140.2180.2180.2060.114-0.029-0.0290.1340.1370.0770.1900.1870.1890.2240.1160.341-0.2260.0670.0780.2520.5880.2000.2030.2060.0000.2040.1450.2350.1810.2310.1660.3230.1470.426-0.1211.000-0.7870.0420.0160.0200.1990.1800.181-0.029-0.0290.0710.0360.0620.042-0.0360.107-0.0400.5010.018-0.0400.024-0.019-0.0760.431-0.237-0.058-0.0420.0000.0000.639-0.0610.4550.529-0.106-0.2540.2310.2930.028-0.030-0.0290.2290.1200.335-0.231-0.029-0.028-0.158-0.035-0.029-0.0290.028-0.029-0.029-0.0291.000
Grid Production ReactivePower StdDev [W]-0.0020.0020.002-0.0160.0170.040-0.092-0.007-0.151-0.102-0.2150.0470.002-0.0990.4990.4280.6340.0900.0280.0370.006-0.191-0.040-0.0880.0360.030-0.154-0.135-0.158-0.160-0.158-0.148-0.0710.0020.002-0.074-0.079-0.016-0.130-0.128-0.129-0.163-0.052-0.2600.208-0.059-0.052-0.219-0.650-0.152-0.154-0.1560.000-0.141-0.081-0.195-0.144-0.168-0.105-0.306-0.116-0.2550.219-0.7871.000-0.059-0.034-0.007-0.138-0.117-0.1180.0020.002-0.0710.008-0.0160.0040.072-0.1150.157-0.616-0.0480.010-0.0660.0450.011-0.4260.0420.0840.0570.0170.017-0.6700.176-0.554-0.4020.2130.413-0.169-0.111-0.0010.0030.001-0.161-0.055-0.2590.2110.0020.0000.1490.0710.0020.002-0.0010.0020.0020.0021.000
Grid Production VoltagePhase1 Avg. [V]0.094-0.095-0.095-0.0000.294-0.1000.0280.0200.0070.008-0.005-0.003-0.0940.031-0.126-0.115-0.110-0.055-0.098-0.063-0.085-0.081-0.105-0.0640.048-0.006-0.021-0.022-0.018-0.019-0.018-0.020-0.091-0.095-0.095-0.034-0.038-0.073-0.023-0.023-0.023-0.012-0.010-0.0170.069-0.095-0.082-0.0540.044-0.020-0.020-0.0211.0000.0030.005-0.0140.071-0.011-0.007-0.0270.0640.0610.0340.042-0.0591.0000.9740.943-0.041-0.045-0.043-0.094-0.094-0.019-0.072-0.068-0.0750.034-0.014-0.0240.0660.0060.003-0.032-0.002-0.0220.0570.025-0.053-0.1240.2940.2940.052-0.0570.0830.057-0.0000.001-0.0110.0460.094-0.096-0.094-0.012-0.009-0.0180.072-0.094-0.087-0.1040.034-0.095-0.0940.093-0.094-0.094-0.0941.000
Grid Production VoltagePhase2 Avg. [V]0.174-0.174-0.174-0.0060.294-0.1450.0050.018-0.0060.002-0.024-0.000-0.1740.003-0.122-0.106-0.101-0.067-0.125-0.071-0.148-0.123-0.165-0.1040.045-0.005-0.037-0.037-0.033-0.034-0.033-0.035-0.112-0.174-0.174-0.059-0.072-0.112-0.046-0.045-0.045-0.025-0.016-0.0380.103-0.153-0.113-0.0910.024-0.033-0.034-0.0341.000-0.009-0.005-0.0280.062-0.021-0.015-0.0420.0580.0490.0380.016-0.0340.9741.0000.943-0.070-0.074-0.072-0.174-0.174-0.061-0.110-0.104-0.1120.037-0.017-0.0260.050-0.0010.000-0.0340.005-0.0270.0430.029-0.029-0.1760.2940.2940.032-0.0630.0710.043-0.0020.006-0.0210.0360.173-0.175-0.174-0.025-0.016-0.0380.108-0.174-0.166-0.1160.037-0.174-0.1740.173-0.174-0.174-0.1741.000
Grid Production VoltagePhase3 Avg. [V]0.148-0.149-0.149-0.0010.294-0.1380.0120.0120.2160.2260.1820.206-0.1490.013-0.179-0.189-0.1250.033-0.117-0.079-0.0720.081-0.0220.1190.032-0.0040.1970.1970.2000.1980.1990.1980.062-0.149-0.1490.1420.1530.0990.1920.1930.1920.2040.2090.1830.114-0.0470.0600.1340.1370.1950.1960.1941.0000.2170.2230.1860.2420.2070.2130.1710.2330.1120.1500.020-0.0070.9430.9431.0000.1670.1620.165-0.149-0.1490.0210.1310.1300.1300.022-0.0050.216-0.1120.0050.003-0.020-0.001-0.0180.1870.070-0.003-0.0480.2940.2940.1440.192-0.0790.1170.104-0.0290.2070.1350.148-0.150-0.1480.2060.2090.1840.108-0.149-0.147-0.1560.022-0.149-0.1490.148-0.149-0.149-0.1491.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1320.1320.1320.0610.4080.0240.0090.0290.8750.8610.8270.7470.1320.028-0.422-0.489-0.3210.3690.037-0.0160.3130.8560.5880.951-0.0460.0100.9240.9180.9150.9140.9090.9160.6560.1320.1320.8190.8960.8990.9530.9490.9510.8880.8720.8250.2130.4470.7180.9720.6250.8980.8990.8990.5000.8830.8740.8190.6960.8980.8860.8340.6900.3970.4390.199-0.138-0.041-0.0700.1671.0000.9940.9950.1320.1320.2590.8850.8650.890-0.0820.1010.777-0.3100.0860.0250.084-0.0860.0590.7200.2040.0620.4810.4080.4080.6270.822-0.2200.4470.371-0.1710.8990.480-0.1300.1290.1320.8850.8720.8290.1800.1320.105-0.193-0.0810.1320.132-0.1300.1320.1320.1321.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1480.1480.1480.0640.4080.0490.0090.0290.8550.8410.8090.7310.1480.027-0.397-0.461-0.2990.3570.0590.0030.3300.8470.6020.961-0.0420.0110.9060.9010.8960.8950.8900.8990.6520.1480.1480.8160.8930.9160.9420.9370.9390.8670.8520.8080.2030.4580.7260.9670.5970.8760.8770.8770.5000.8620.8530.8010.6740.8750.8640.8140.6670.3780.4300.180-0.117-0.045-0.0740.1620.9941.0000.9930.1480.1480.2660.8850.8650.890-0.0760.0960.770-0.3240.0830.0250.078-0.0840.0560.6900.1950.0640.5000.4080.4080.5990.814-0.2400.4270.366-0.1640.8760.464-0.1460.1450.1480.8650.8520.8110.1710.1480.121-0.165-0.0750.1480.148-0.1460.1480.1480.1481.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1400.1400.1400.0710.4080.0370.0080.0290.8640.8500.8160.7380.1400.027-0.410-0.474-0.3100.3620.049-0.0050.3200.8500.5920.955-0.0540.0110.9160.9110.9070.9050.9000.9090.6560.1400.1400.8200.8950.9090.9470.9430.9450.8790.8640.8190.2110.4520.7240.9650.6080.8880.8890.8880.5000.8710.8620.8090.6830.8870.8750.8220.6800.3810.4340.181-0.118-0.043-0.0720.1650.9950.9931.0000.1400.1400.2630.8870.8670.892-0.0880.1000.779-0.3230.0880.0300.090-0.0880.0700.6990.1990.0670.4910.4080.4080.6090.822-0.2370.4290.370-0.1650.8870.467-0.1380.1370.1400.8770.8640.8230.1800.1400.113-0.178-0.0870.1400.140-0.1380.1400.1400.1401.000
Grid ok hours [h]-1.0001.0001.0000.0420.0400.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.023-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0400.040-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.0000.0410.0440.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.024-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0440.044-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.5200.5190.5200.0550.4200.4790.092-0.0100.0860.0840.0720.0700.5200.099-0.213-0.211-0.1910.0030.4630.4140.6770.2840.5370.319-0.087-0.0100.1770.1620.1620.1570.1510.1620.2260.5190.5200.2920.3040.3700.1910.1880.1880.1360.1190.1340.0540.7190.4440.2570.1380.1420.1440.1390.5000.0910.0960.0730.1820.1150.1160.1030.1860.0880.0430.071-0.071-0.019-0.0610.0210.2590.2660.2630.5200.5201.0000.4190.4450.419-0.1040.1090.131-0.0160.0550.0360.109-0.0540.0620.1340.016-0.0680.6260.4200.4200.1290.089-0.0000.096-0.007-0.0080.1150.067-0.5200.5190.5200.1380.1190.1350.0470.5200.5010.399-0.1030.5190.520-0.5190.5200.5200.5201.000
HVTrafo Phase1 Temp. Avg. [°C]-0.2470.2480.2480.0840.4090.1100.0060.0230.7760.7750.7220.7040.2480.023-0.290-0.362-0.1860.3390.1090.0670.4230.8350.6460.867-0.0370.0140.8450.8430.8320.8290.8270.8400.6360.2480.2480.7880.8820.8360.8910.8900.8900.7870.7840.7300.1780.5310.7730.8540.4760.8070.8080.8060.5000.7890.7890.7340.6100.7840.7840.7280.6120.2540.3860.0360.008-0.072-0.1100.1310.8850.8850.8870.2480.2480.4191.0000.9690.997-0.0670.0440.761-0.4130.0790.0440.074-0.0770.0980.5630.2060.0150.5890.4090.4090.4590.803-0.3460.2940.354-0.1300.7850.362-0.2450.2470.2470.7850.7840.7330.1480.2480.227-0.118-0.0680.2480.248-0.2450.2480.2480.2481.000
HVTrafo Phase2 Temp. Avg. [°C]-0.2660.2670.2670.0870.4090.1660.0060.0380.7380.7340.6870.6580.2670.020-0.353-0.410-0.2480.2910.1670.1010.3920.7970.6400.849-0.0670.0110.8170.8150.8040.8010.8000.8110.5960.2670.2670.7680.8470.8200.8620.8610.8610.7640.7540.7120.1900.4970.7580.8320.4790.7780.7790.7770.5000.7500.7500.6960.6190.7550.7540.7000.6220.2620.3640.062-0.016-0.068-0.1040.1300.8650.8650.8670.2670.2670.4450.9691.0000.978-0.0940.0750.745-0.3920.0840.0480.100-0.0810.1030.5650.181-0.0130.5690.4090.4090.4640.763-0.3220.2990.306-0.1230.7560.344-0.2640.2660.2660.7640.7540.7160.1600.2670.245-0.068-0.0940.2670.267-0.2640.2670.2670.2671.000
HVTrafo Phase3 Temp. Avg. [°C]-0.2510.2520.2510.0860.4090.1240.0090.0240.7760.7740.7220.7020.2510.025-0.302-0.372-0.1970.3360.1270.0760.4200.8330.6490.871-0.0490.0140.8490.8470.8350.8330.8310.8430.6360.2520.2510.7920.8820.8400.8930.8920.8920.7920.7880.7350.1810.5290.7770.8580.4810.8110.8120.8100.5000.7890.7890.7330.6140.7880.7870.7310.6170.2580.3860.0420.004-0.075-0.1120.1300.8900.8900.8920.2510.2510.4190.9970.9781.000-0.0780.0550.765-0.4120.0810.0460.084-0.0780.1020.5680.2030.0160.5910.4090.4090.4640.804-0.3440.2980.350-0.1300.7880.363-0.2490.2500.2510.7900.7880.7390.1500.2510.230-0.107-0.0790.2510.251-0.2480.2510.2510.2511.000
HourCounters Average AlarmActive Avg. [h]0.072-0.072-0.072-0.3020.000-0.057-0.0300.0360.0900.0910.0660.090-0.072-0.0250.2460.2270.250-0.080-0.077-0.066-0.003-0.1280.025-0.0360.7860.137-0.155-0.146-0.147-0.166-0.155-0.133-0.190-0.072-0.072-0.046-0.037-0.048-0.072-0.075-0.073-0.201-0.158-0.221-0.046-0.070-0.035-0.092-0.228-0.178-0.180-0.1810.0000.0850.0840.050-0.006-0.155-0.140-0.166-0.151-0.0170.053-0.0360.0720.0340.0370.022-0.082-0.076-0.088-0.072-0.072-0.104-0.067-0.094-0.0781.000-0.744-0.097-0.121-0.479-0.141-0.9770.469-0.758-0.058-0.048-0.064-0.0680.0000.000-0.244-0.084-0.110-0.018-0.017-0.016-0.155-0.0150.070-0.072-0.072-0.205-0.158-0.225-0.041-0.072-0.0720.0291.000-0.072-0.0720.070-0.072-0.072-0.0721.000
HourCounters Average AmbientOk Avg. [h]-0.0150.0150.0150.4000.2330.0110.017-0.014-0.079-0.089-0.055-0.1060.0150.023-0.195-0.186-0.1940.0430.0280.0240.0090.0910.0260.074-0.477-0.0920.1330.1280.1280.1400.1400.1250.1570.0150.0150.0270.0140.0700.0750.0730.0740.1610.1210.1710.0160.0450.0240.1120.1720.1330.1350.1370.057-0.075-0.062-0.0410.0410.1320.1190.1470.1120.1250.0350.107-0.115-0.014-0.017-0.0050.1010.0960.1000.0150.0150.1090.0440.0750.055-0.7441.0000.0770.0980.6930.3720.785-0.6570.4740.0990.0160.0450.0500.2330.2330.2110.0670.0890.1330.0200.0180.1340.114-0.0150.0140.0150.1630.1210.1720.0090.0150.012-0.045-0.7380.0150.015-0.0150.0150.0150.0151.000
HourCounters Average Gen1 Avg. [h]0.063-0.063-0.0630.0470.016-0.182-0.0310.0110.8120.8080.7610.703-0.063-0.016-0.372-0.398-0.2420.225-0.159-0.1770.0600.6080.2910.671-0.0740.0000.8480.8500.8490.8470.8480.8470.514-0.063-0.0630.6950.7350.6220.8340.8350.8340.8440.8350.8190.2380.1730.4830.6780.4490.8430.8450.8450.0000.8230.8220.7870.6770.8440.8390.7830.6830.2340.430-0.0400.157-0.024-0.0260.2160.7770.7700.779-0.063-0.0630.1310.7610.7450.765-0.0970.0771.000-0.6900.0630.0340.100-0.0600.0890.5740.1400.0620.2180.0160.0160.4380.963-0.6200.2560.381-0.1450.8440.3440.064-0.063-0.0630.8490.8360.8220.213-0.063-0.074-0.343-0.096-0.063-0.0630.064-0.063-0.063-0.0631.000
HourCounters Average Gen2 Avg. [h]-0.0570.0570.0570.0490.0230.0720.0890.025-0.337-0.350-0.315-0.3450.0570.084-0.172-0.182-0.2690.1510.0840.091-0.023-0.126-0.124-0.298-0.101-0.010-0.317-0.326-0.320-0.310-0.313-0.327-0.1500.0570.057-0.288-0.302-0.315-0.332-0.333-0.332-0.300-0.320-0.285-0.0840.006-0.189-0.1900.249-0.306-0.306-0.3030.000-0.347-0.354-0.407-0.192-0.304-0.310-0.317-0.1630.317-0.0830.501-0.6160.0660.050-0.112-0.310-0.324-0.3230.0570.057-0.016-0.413-0.392-0.412-0.1210.098-0.6901.0000.0650.0350.123-0.0620.0990.0030.098-0.068-0.1360.0230.0230.311-0.6640.9330.316-0.2360.109-0.3030.145-0.0580.0560.058-0.304-0.320-0.286-0.0810.0570.0610.071-0.1210.0570.057-0.0580.0570.0570.0571.000
HourCounters Average GridOk Avg. [h]-0.0460.0460.0460.5200.3350.025-0.021-0.0280.0180.0050.049-0.0160.046-0.007-0.135-0.123-0.1320.0060.0460.0570.0350.0980.0240.065-0.002-0.0660.1130.1110.1090.1140.1100.1070.1310.0460.0460.0830.0900.0780.0890.0890.0890.1250.1110.1210.0570.0770.0590.0910.1270.1180.1170.1190.0840.0210.0170.060-0.0270.0930.0920.0880.0970.021-0.0190.018-0.0480.006-0.0010.0050.0860.0830.0880.0460.0460.0550.0790.0840.081-0.4790.6930.0630.0651.0000.5320.550-0.9370.6820.0280.0610.0650.0680.3350.3350.1290.0600.0570.0240.0180.0100.0960.022-0.0470.0450.0460.1250.1110.1220.0460.0460.046-0.034-0.4780.0460.046-0.0470.0460.0460.0461.000
HourCounters Average GridOn Avg. [h]-0.0190.0190.0190.6770.8040.0060.009-0.0040.0120.0060.042-0.0170.0190.036-0.066-0.066-0.059-0.0080.0120.0220.0080.054-0.0050.0090.0050.0010.0560.0540.0550.0580.0530.0520.0800.0190.0190.0380.0440.0260.0380.0400.0390.0670.0600.0560.0450.0360.0280.0280.0650.0640.0640.0640.3780.0120.0300.046-0.0100.0380.0440.0320.055-0.042-0.003-0.0400.0100.0030.0000.0030.0250.0250.0300.0190.0190.0360.0440.0480.046-0.1410.3720.0340.0350.5321.0000.293-0.3430.3670.0430.0270.0570.0340.8040.8040.0490.0320.030-0.0440.0070.0120.044-0.033-0.0190.0190.0190.0670.0600.0570.0340.0190.019-0.022-0.1430.0190.019-0.0190.0190.0190.0191.000
HourCounters Average Run Avg. [h]-0.0710.0710.0710.3960.2260.0560.032-0.036-0.085-0.086-0.063-0.0880.0710.036-0.249-0.232-0.2510.0810.0760.0660.0050.134-0.0240.037-0.767-0.1340.1610.1510.1520.1710.1610.1380.1980.0710.0710.0520.0440.0510.0770.0800.0790.2060.1640.2230.0530.0740.0380.0940.2340.1840.1860.1870.044-0.080-0.073-0.0420.0060.1570.1450.1650.1570.007-0.0450.024-0.066-0.032-0.034-0.0200.0840.0780.0900.0710.0710.1090.0740.1000.084-0.9770.7850.1000.1230.5500.2931.000-0.5150.7980.0640.0520.0710.0710.2260.2260.2440.0870.1120.0090.0190.0170.1580.008-0.0690.0710.0710.2100.1650.2270.0460.0710.071-0.032-0.9770.0710.071-0.0690.0710.0710.0711.000
HourCounters Average ServiceOn Avg. [h]0.044-0.044-0.044-0.4130.466-0.0200.0260.025-0.018-0.004-0.0440.016-0.0440.0170.1310.1170.130-0.010-0.042-0.053-0.035-0.094-0.028-0.067-0.0050.022-0.110-0.108-0.106-0.110-0.107-0.106-0.123-0.044-0.044-0.082-0.088-0.079-0.089-0.088-0.089-0.119-0.108-0.119-0.058-0.074-0.057-0.092-0.122-0.114-0.113-0.1150.000-0.022-0.014-0.0540.026-0.093-0.090-0.087-0.095-0.0210.017-0.0190.045-0.0020.005-0.001-0.086-0.084-0.088-0.044-0.044-0.054-0.077-0.081-0.0780.469-0.657-0.060-0.062-0.937-0.343-0.5151.000-0.646-0.020-0.065-0.059-0.0650.4660.466-0.126-0.057-0.056-0.025-0.019-0.006-0.094-0.0220.044-0.042-0.044-0.119-0.108-0.119-0.047-0.044-0.0440.0350.468-0.044-0.0440.045-0.044-0.044-0.0441.000
HourCounters Average TurbineOk Avg. [h]-0.1050.1050.1040.4400.2760.0740.008-0.053-0.015-0.0170.007-0.0150.1040.013-0.200-0.187-0.1990.0740.0980.0950.0210.138-0.0420.014-0.477-0.0600.1410.1320.1310.1460.1300.1170.1740.1050.1040.0910.0970.0430.0780.0840.0810.1780.1600.1810.0980.0970.0610.0650.2040.1770.1760.1780.055-0.012-0.0180.026-0.0500.1260.1250.1090.155-0.111-0.097-0.0760.011-0.022-0.027-0.0180.0590.0560.0700.1040.1040.0620.0980.1030.102-0.7580.4740.0890.0990.6820.3670.798-0.6461.0000.0010.0970.0850.0830.2760.2760.1710.0830.088-0.1170.0230.0140.128-0.097-0.1020.1040.1040.1810.1610.1850.0880.1040.106-0.017-0.7620.1040.104-0.1020.1040.1040.1051.000
HourCounters Average WindOk Avg. [h]0.068-0.068-0.0680.0410.043-0.1980.0400.0330.8000.7720.7620.619-0.0680.055-0.703-0.754-0.6280.235-0.165-0.1790.0430.6520.2540.583-0.0610.0080.7980.7790.8050.8030.7940.7950.443-0.068-0.0680.5930.6310.4770.7570.7570.7580.7880.7470.7090.3140.1860.4340.7290.7990.8060.8060.8060.0000.7970.7740.7500.7180.8150.7890.7660.6940.4720.3240.431-0.4260.0570.0430.1870.7200.6900.699-0.068-0.0680.1340.5630.5650.568-0.0580.0990.5740.0030.0280.0430.064-0.0200.0011.0000.151-0.0000.1070.0430.0430.7870.5550.1460.5190.239-0.2460.8150.4560.068-0.070-0.0670.7770.7480.7170.286-0.068-0.079-0.401-0.057-0.068-0.0680.068-0.068-0.068-0.0681.000
HourCounters Average Yaw Avg. [h]-0.0090.0090.0090.0350.000-0.106-0.0110.1260.1930.2630.0740.3830.009-0.013-0.077-0.2460.0290.468-0.034-0.0300.0140.2580.0970.172-0.0320.0170.2190.2250.2140.2180.2210.2160.1750.0090.0090.1760.2240.1540.2360.2380.2370.2200.3060.1000.2860.0820.1640.2230.1900.2340.2320.2320.0000.2130.2840.0410.3600.2230.2970.0640.3840.2940.581-0.2370.0420.0250.0290.0700.2040.1950.1990.0090.0090.0160.2060.1810.203-0.0480.0160.1400.0980.0610.0270.052-0.0650.0970.1511.000-0.0040.0680.0000.0000.2230.1570.1020.2700.1970.1940.2230.331-0.0080.0080.0090.2150.3020.1100.2600.009-0.001-0.107-0.0480.0090.009-0.0080.0090.0090.0091.000
Hydraulic Oil Temp. Avg. [°C]0.157-0.157-0.1570.0770.457-0.049-0.082-0.0450.0820.0810.0890.081-0.157-0.0740.1410.1090.1280.107-0.061-0.0040.0070.056-0.0230.050-0.0390.0030.0980.0980.0990.1000.0970.0990.194-0.157-0.1570.0290.0660.0510.0660.0680.0680.0920.0970.078-0.0220.0420.0820.060-0.0030.0910.0900.0910.5000.0760.0720.089-0.0500.0930.0910.097-0.025-0.0450.023-0.0580.084-0.053-0.029-0.0030.0620.0640.067-0.157-0.157-0.0680.015-0.0130.016-0.0640.0450.062-0.0680.0650.0570.071-0.0590.085-0.000-0.0041.0000.0240.4570.457-0.0010.120-0.070-0.0390.097-0.0240.0940.0120.158-0.159-0.1580.0880.0960.079-0.024-0.157-0.172-0.005-0.064-0.157-0.1570.158-0.157-0.157-0.1571.000
Nacelle Temp. Avg. [°C]-0.7590.7580.7590.0740.4100.7640.0820.0030.2180.2220.2010.2290.7590.0870.024-0.0140.0420.1660.7120.5250.9180.5510.9240.626-0.0390.0050.3050.2910.2800.2770.2670.2860.4350.7580.7590.4220.5340.6880.3550.3480.3500.2350.2400.2090.0140.9110.7300.4960.1030.2600.2620.2570.5000.2240.2240.2010.1130.2190.2190.2070.1150.0380.105-0.0420.057-0.124-0.176-0.0480.4810.5000.4910.7590.7590.6260.5890.5690.591-0.0680.0500.218-0.1360.0680.0340.071-0.0650.0830.1070.0680.0241.0000.4100.4100.0810.263-0.1370.0580.156-0.0130.2190.111-0.7570.7570.7580.2310.2400.2080.0080.7590.7290.601-0.0680.7590.759-0.7560.7590.7590.7591.000
Power factor set point0.0450.0380.0390.6920.9790.0480.0240.0200.0110.0000.3570.0060.0430.1230.2180.3570.3570.0400.4080.4120.4080.4120.4080.4080.0000.0000.4150.4130.4130.4130.4110.4180.4560.0340.0440.4080.4100.4080.4090.4080.4090.0850.0890.3570.0000.4090.4080.4080.0610.0260.0260.0260.3530.0110.0360.0200.0000.0190.3540.0390.0050.0000.0010.0000.0170.2940.2940.2940.4080.4080.4080.0400.0440.4200.4090.4090.4090.0000.2330.0160.0230.3350.8040.2260.4660.2760.0430.0000.4570.4101.0000.9790.0690.0160.0080.0000.0000.0000.0270.0000.0470.0340.0510.0840.0880.3570.0000.0390.0650.4090.0000.0380.0280.0450.0400.0350.0461.000
Power factor set point source0.0450.0380.0390.6920.9790.0480.0240.0200.0110.0000.3570.0060.0430.1230.2180.3570.3570.0400.4080.4120.4080.4120.4080.4080.0000.0000.4150.4130.4130.4130.4110.4180.4560.0340.0440.4080.4100.4080.4090.4080.4090.0850.0890.3570.0000.4090.4080.4080.0610.0260.0260.0260.3530.0110.0360.0200.0000.0190.3540.0390.0050.0000.0010.0000.0170.2940.2940.2940.4080.4080.4080.0400.0440.4200.4090.4090.4090.0000.2330.0160.0230.3350.8040.2260.4660.2760.0430.0000.4570.4100.9791.0000.0690.0160.0080.0000.0000.0000.0270.0000.0470.0340.0510.0840.0880.3570.0000.0390.0650.4090.0000.0380.0280.0450.0400.0350.0461.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.052-0.051-0.0520.0860.069-0.1810.0720.0370.6480.6160.6310.457-0.0520.089-0.701-0.724-0.6890.326-0.143-0.1510.0210.6260.2090.499-0.191-0.0290.7090.6940.7080.7150.7120.6970.459-0.051-0.0520.5260.5640.4050.6690.6690.6700.7190.6480.7250.1200.1930.3680.6520.9400.7040.7080.7100.0000.6490.6190.5800.6200.7260.6890.6910.6420.5980.3050.639-0.6700.0520.0320.1440.6270.5990.609-0.052-0.0520.1290.4590.4640.464-0.2440.2110.4380.3110.1290.0490.244-0.1260.1710.7870.223-0.0010.0810.0690.0691.0000.4210.3240.6590.178-0.2420.7260.5340.052-0.054-0.0510.7170.6510.7270.098-0.052-0.059-0.376-0.243-0.052-0.0520.052-0.052-0.052-0.0521.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.078-0.078-0.0780.0440.016-0.194-0.044-0.0090.8500.8480.7990.755-0.078-0.027-0.240-0.299-0.1130.328-0.176-0.1920.0830.6640.3250.718-0.0620.0090.8780.8810.8770.8770.8750.8750.584-0.078-0.0780.7070.7690.6630.8660.8660.8660.8730.8710.8300.1770.2080.5160.7380.4350.8780.8800.8800.0080.8610.8600.8200.6400.8790.8740.8110.6460.2270.447-0.0610.176-0.057-0.0630.1920.8220.8140.822-0.078-0.0780.0890.8030.7630.804-0.0840.0670.963-0.6640.0600.0320.087-0.0570.0830.5550.1570.1200.2630.0160.0160.4211.000-0.5970.2460.450-0.1380.8790.3720.080-0.079-0.0780.8740.8710.8330.150-0.078-0.090-0.355-0.083-0.078-0.0780.080-0.078-0.078-0.0781.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0450.0450.0450.0450.0080.0400.0770.039-0.222-0.231-0.226-0.2220.0450.073-0.270-0.310-0.3130.1370.0600.063-0.026-0.056-0.106-0.236-0.093-0.005-0.212-0.224-0.211-0.205-0.213-0.221-0.1270.0450.045-0.219-0.235-0.270-0.241-0.241-0.240-0.195-0.205-0.2500.0810.008-0.141-0.1070.288-0.192-0.193-0.1920.000-0.231-0.233-0.310-0.070-0.190-0.192-0.252-0.0390.352-0.0490.455-0.5540.0830.071-0.079-0.220-0.240-0.2370.0450.045-0.000-0.346-0.322-0.344-0.1100.089-0.6200.9330.0570.0300.112-0.0560.0880.1460.102-0.070-0.1370.0080.0080.324-0.5971.0000.319-0.1640.115-0.1900.185-0.0460.0440.046-0.202-0.205-0.2460.0800.0450.0460.021-0.1100.0450.045-0.0470.0450.0450.0451.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.048-0.047-0.048-0.0210.000-0.1430.0440.0540.4480.4400.3950.372-0.0480.053-0.480-0.511-0.4460.440-0.106-0.1120.0310.4320.1960.3770.011-0.0110.4720.4800.4690.4770.4870.4700.317-0.047-0.0480.3810.4060.3030.4720.4680.4690.4800.4560.4710.0580.1580.2710.4660.5430.4480.4520.4550.0000.4500.4640.3010.5050.4850.4840.3920.4710.9170.5450.529-0.4020.0570.0430.1170.4470.4270.429-0.048-0.0480.0960.2940.2990.298-0.0180.1330.2560.3160.024-0.0440.009-0.025-0.1170.5190.270-0.0390.0580.0000.0000.6590.2460.3191.0000.1060.1540.4850.8260.047-0.049-0.0470.4870.4560.4710.025-0.048-0.058-0.258-0.016-0.048-0.0480.047-0.048-0.048-0.0481.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.043-0.043-0.0430.0080.000-0.100-0.0330.0090.3840.3990.3300.402-0.043-0.0260.050-0.0780.1490.337-0.092-0.1040.0730.3420.1770.326-0.0150.0140.3870.3890.3850.3870.3840.3850.306-0.043-0.0430.2960.3500.2990.3850.3860.3850.3840.4190.3050.1470.1320.2490.3400.1870.3990.3990.3990.0000.3940.4150.3210.3180.3990.4200.2740.3260.1790.356-0.1060.213-0.000-0.0020.1040.3710.3660.370-0.043-0.043-0.0070.3540.3060.350-0.0170.0200.381-0.2360.0180.0070.019-0.0190.0230.2390.1970.0970.1560.0000.0000.1780.450-0.1640.1061.0000.0080.3990.5390.045-0.043-0.0440.3770.4190.3070.141-0.043-0.050-0.161-0.017-0.043-0.0430.045-0.043-0.043-0.0431.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0370.0370.0370.0020.0000.049-0.0150.024-0.206-0.168-0.280-0.0500.037-0.0280.1550.0830.2580.3620.0660.073-0.003-0.147-0.045-0.134-0.0240.008-0.187-0.171-0.194-0.189-0.181-0.187-0.0680.0370.037-0.102-0.121-0.097-0.168-0.169-0.169-0.175-0.069-0.2660.199-0.015-0.076-0.175-0.333-0.186-0.186-0.1870.000-0.204-0.129-0.390-0.048-0.194-0.122-0.389-0.0290.3310.405-0.2540.4130.0010.006-0.029-0.171-0.164-0.1650.0370.037-0.008-0.130-0.123-0.130-0.0160.018-0.1450.1090.0100.0120.017-0.0060.014-0.2460.194-0.024-0.0130.0000.000-0.242-0.1380.1150.1540.0081.000-0.1950.322-0.0370.0380.037-0.167-0.071-0.2660.1860.0370.0340.107-0.0150.0370.037-0.0370.0370.0370.0371.000
Production LatestAverage Total Active Power Avg. [W]0.090-0.090-0.0910.0670.027-0.237-0.0050.0150.9440.9300.8900.803-0.0900.015-0.532-0.598-0.4190.391-0.200-0.2160.0650.7860.3280.753-0.1210.0050.9780.9720.9800.9810.9740.9710.634-0.090-0.0910.7510.8150.6580.9400.9400.9400.9820.9660.9090.2910.2380.5450.8580.7230.9890.9900.9900.0080.9520.9430.8860.7761.0000.9860.9190.7920.4360.4760.231-0.169-0.011-0.0210.2070.8990.8760.887-0.090-0.0900.1150.7850.7560.788-0.1550.1340.844-0.3030.0960.0440.158-0.0940.1280.8150.2230.0940.2190.0270.0270.7260.879-0.1900.4850.399-0.1951.0000.5130.092-0.092-0.0900.9790.9660.9160.257-0.090-0.105-0.439-0.154-0.090-0.0900.092-0.090-0.090-0.0901.000
Production LatestAverage Total Reactive Power Avg. [var]0.058-0.058-0.058-0.0190.000-0.1530.0100.0530.4770.4870.3930.462-0.0580.018-0.299-0.399-0.1960.563-0.119-0.1240.0540.4560.2240.4150.009-0.0100.5000.5110.4960.5030.5130.4980.366-0.058-0.0580.4050.4450.3540.5060.5030.5040.5050.5220.4370.1550.1730.3050.4800.4280.4830.4860.4880.0000.4850.5200.2940.5220.5120.5350.3410.4980.8860.6720.293-0.1110.0460.0360.1350.4800.4640.467-0.058-0.0580.0670.3620.3440.363-0.0150.1140.3440.1450.022-0.0330.008-0.022-0.0970.4560.3310.0120.1110.0000.0000.5340.3720.1850.8260.5390.3220.5131.0000.059-0.059-0.0580.5080.5220.4380.126-0.058-0.069-0.252-0.013-0.058-0.0580.059-0.058-0.058-0.0581.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.000-0.0410.047-0.793-0.164-0.0230.0890.0850.0880.054-1.000-0.1650.0140.0060.0210.023-0.744-0.529-0.803-0.246-0.719-0.2870.0430.0030.0200.0350.0410.0440.0530.041-0.123-1.000-1.000-0.130-0.196-0.353-0.010-0.005-0.0060.0660.0650.067-0.003-0.723-0.440-0.1590.0190.0450.0430.0460.0260.0850.0850.0960.0590.0920.0890.0860.0510.0440.0630.028-0.0010.0940.1730.148-0.130-0.146-0.138-1.000-1.000-0.520-0.245-0.264-0.2490.070-0.0150.064-0.058-0.047-0.019-0.0690.044-0.1020.068-0.0080.158-0.7570.0470.0470.0520.080-0.0460.0470.045-0.0370.0920.0591.000-0.999-1.0000.0660.0640.070-0.007-1.000-0.984-0.6520.071-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]-0.9991.0001.0000.0410.0340.7930.1640.022-0.089-0.085-0.089-0.0541.0000.165-0.012-0.004-0.019-0.0220.7440.5280.8020.2480.7190.287-0.045-0.003-0.020-0.035-0.041-0.044-0.053-0.0410.1241.0001.0000.1280.1960.3530.0100.0050.006-0.066-0.065-0.0670.0020.7220.4400.159-0.021-0.044-0.042-0.0460.021-0.085-0.085-0.096-0.060-0.092-0.089-0.086-0.052-0.046-0.063-0.0300.003-0.096-0.175-0.1500.1290.1450.1371.0001.0000.5190.2470.2660.250-0.0720.014-0.0630.0560.0450.0190.071-0.0420.104-0.0700.008-0.1590.7570.0340.034-0.054-0.0790.044-0.049-0.0430.038-0.092-0.059-0.9991.0001.000-0.065-0.064-0.0700.0061.0000.9840.651-0.0731.0001.000-0.9991.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.0000.0410.0510.7940.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.014-0.007-0.021-0.0220.7450.5290.8040.2490.7200.289-0.045-0.003-0.019-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1300.1980.3550.0120.0070.008-0.064-0.063-0.0660.0030.7240.4420.161-0.018-0.043-0.041-0.0450.026-0.084-0.084-0.095-0.058-0.090-0.087-0.084-0.051-0.044-0.062-0.0290.001-0.094-0.174-0.1480.1320.1480.1401.0001.0000.5200.2470.2660.251-0.0720.015-0.0630.0580.0460.0190.071-0.0440.104-0.0670.009-0.1580.7580.0510.051-0.051-0.0780.046-0.047-0.0440.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9850.653-0.0731.0001.000-0.9991.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.064-0.064-0.0640.0930.084-0.207-0.0050.0230.9310.9160.8770.787-0.0640.012-0.556-0.611-0.4360.380-0.170-0.1900.0750.7670.3240.742-0.160-0.0070.9710.9670.9720.9750.9680.9620.642-0.064-0.0640.7550.8120.6550.9270.9280.9280.9940.9640.9330.2820.2460.5500.8330.7090.9780.9790.9800.0130.9280.9220.8590.7720.9780.9650.9010.7930.4400.4670.229-0.161-0.012-0.0250.2060.8850.8650.877-0.064-0.0640.1380.7850.7640.790-0.2050.1630.849-0.3040.1250.0670.210-0.1190.1810.7770.2150.0880.2310.0840.0840.7170.874-0.2020.4870.377-0.1670.9790.5080.066-0.065-0.0641.0000.9650.9400.242-0.064-0.077-0.423-0.204-0.064-0.0640.065-0.064-0.064-0.0641.000
Rotor RPM Max. [RPM]0.063-0.063-0.0630.0820.088-0.210-0.0230.0350.9220.9310.8360.853-0.063-0.008-0.495-0.601-0.3390.484-0.164-0.1800.0810.7590.3280.734-0.1200.0090.9530.9510.9530.9560.9480.9450.637-0.063-0.0630.7480.8070.6520.9150.9160.9160.9690.9990.8580.4240.2490.5580.8200.6410.9690.9690.9690.0110.9230.9430.8130.8020.9660.9830.8360.8290.4360.5610.120-0.055-0.009-0.0160.2090.8720.8520.864-0.063-0.0630.1190.7840.7540.788-0.1580.1210.836-0.3200.1110.0600.165-0.1080.1610.7480.3020.0960.2400.0880.0880.6510.871-0.2050.4560.419-0.0710.9660.5220.064-0.064-0.0630.9651.0000.8670.383-0.063-0.078-0.404-0.158-0.063-0.0630.064-0.063-0.063-0.0631.000
Rotor RPM Min. [RPM]0.068-0.068-0.0680.0900.357-0.1900.021-0.0010.8720.8270.8860.631-0.0690.037-0.549-0.532-0.5030.262-0.170-0.1910.0630.7120.2960.695-0.175-0.0310.9110.9050.9120.9160.9110.9020.616-0.068-0.0680.7060.7620.6150.8670.8670.8670.9330.8650.9960.0840.2290.4970.7740.7050.9120.9150.9160.8660.8630.8300.8660.6590.9170.8760.9270.6770.3820.3480.335-0.259-0.018-0.0380.1840.8290.8110.823-0.069-0.0690.1350.7330.7160.739-0.2250.1720.822-0.2860.1220.0570.227-0.1190.1850.7170.1100.0790.2080.3570.3570.7270.833-0.2460.4710.307-0.2660.9160.4380.070-0.070-0.0680.9400.8671.0000.049-0.069-0.077-0.415-0.225-0.068-0.0690.070-0.069-0.068-0.0681.000
Rotor RPM StdDev [RPM]-0.0080.0070.0070.0340.000-0.064-0.0410.1060.2490.3000.1160.4040.007-0.040-0.346-0.418-0.1510.203-0.015-0.014-0.0010.1540.0330.118-0.0320.0220.2490.2490.2500.2480.2400.2480.0890.0070.0070.2200.1910.1110.2200.2230.2230.2560.3840.0400.9830.0430.1570.1320.0850.2700.2690.2680.0000.2490.3060.1040.4010.2570.3230.0660.4320.1150.372-0.2310.2110.0720.1080.1080.1800.1710.1800.0070.0070.0470.1480.1600.150-0.0410.0090.213-0.0810.0460.0340.046-0.0470.0880.2860.260-0.0240.0080.0000.0000.0980.1500.0800.0250.1410.1860.2570.126-0.0070.0060.0070.2420.3830.0491.0000.007-0.000-0.089-0.0400.0070.007-0.0080.0070.0070.0081.000
Run hours [h]-1.0001.0001.0000.0420.0390.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.023-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0390.039-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Service hours [h]-0.9850.9840.9850.0420.0650.7760.1770.019-0.100-0.097-0.096-0.0680.9850.177-0.0080.003-0.019-0.0340.7300.5050.7750.2240.6860.258-0.044-0.003-0.035-0.049-0.056-0.058-0.066-0.0560.1040.9840.9850.1070.1770.323-0.008-0.013-0.012-0.078-0.079-0.074-0.0050.6950.4120.134-0.025-0.058-0.055-0.0590.016-0.098-0.100-0.105-0.073-0.105-0.103-0.095-0.064-0.054-0.076-0.0280.000-0.087-0.166-0.1470.1050.1210.1130.9850.9850.5010.2270.2450.230-0.0720.012-0.0740.0610.0460.0190.071-0.0440.106-0.079-0.001-0.1720.7290.0650.065-0.059-0.0900.046-0.058-0.0500.034-0.105-0.069-0.9840.9840.985-0.077-0.078-0.077-0.0000.9851.0000.637-0.0730.9850.985-0.9840.9850.9850.9851.000
Spinner Temp. Avg. [°C]-0.6530.6510.652-0.0150.4090.8670.1160.003-0.422-0.406-0.412-0.3190.6520.1130.2670.2910.232-0.1640.8430.7530.623-0.1360.4900.0030.017-0.003-0.387-0.400-0.406-0.409-0.418-0.403-0.1030.6510.652-0.159-0.1270.116-0.350-0.357-0.355-0.425-0.404-0.412-0.1070.4980.194-0.159-0.359-0.417-0.417-0.4210.500-0.425-0.420-0.412-0.359-0.440-0.430-0.420-0.355-0.236-0.221-0.1580.149-0.104-0.116-0.156-0.193-0.165-0.1780.6520.6520.399-0.118-0.068-0.1070.029-0.045-0.3430.071-0.034-0.022-0.0320.035-0.017-0.401-0.107-0.0050.6010.4090.409-0.376-0.3550.021-0.258-0.1610.107-0.439-0.252-0.6520.6510.653-0.423-0.404-0.415-0.0890.6520.6371.0000.0290.6520.652-0.6520.6520.6520.6521.000
System Logs First Active Alarm No0.073-0.073-0.073-0.3040.000-0.057-0.0300.0370.0890.0900.0650.089-0.073-0.0250.2460.2260.250-0.079-0.078-0.067-0.003-0.1280.025-0.0350.7850.139-0.155-0.145-0.146-0.165-0.155-0.132-0.190-0.073-0.073-0.047-0.038-0.047-0.072-0.074-0.073-0.201-0.157-0.221-0.046-0.070-0.035-0.091-0.228-0.177-0.179-0.1800.0000.0840.0840.049-0.004-0.154-0.139-0.166-0.150-0.0150.056-0.0350.0710.0340.0370.022-0.081-0.075-0.087-0.073-0.073-0.103-0.068-0.094-0.0791.000-0.738-0.096-0.121-0.478-0.143-0.9770.468-0.762-0.057-0.048-0.064-0.0680.0000.000-0.243-0.083-0.110-0.016-0.017-0.015-0.154-0.0130.071-0.073-0.073-0.204-0.158-0.225-0.040-0.073-0.0730.0291.000-0.073-0.0730.071-0.073-0.073-0.0731.000
Total Active power [W]-1.0001.0001.0000.0420.0380.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1261.0001.0000.1310.1980.3550.0130.0070.009-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0440.023-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.095-0.174-0.1490.1320.1480.1401.0001.0000.5190.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0380.038-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.0000.0410.0280.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.040-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.023-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0280.028-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Total reactive power [var]0.999-0.999-0.999-0.0400.045-0.792-0.163-0.0230.0880.0850.0880.054-0.999-0.1650.0140.0070.0210.023-0.744-0.529-0.803-0.245-0.719-0.2860.0420.0030.0200.0350.0410.0440.0530.041-0.122-0.999-0.999-0.130-0.197-0.352-0.010-0.005-0.0060.0660.0650.067-0.004-0.723-0.439-0.1590.0190.0440.0430.0460.0250.0850.0850.0960.0580.0920.0880.0860.0510.0440.0630.028-0.0010.0930.1730.148-0.130-0.146-0.138-0.999-0.999-0.519-0.245-0.264-0.2480.070-0.0150.064-0.058-0.047-0.019-0.0690.045-0.1020.068-0.0080.158-0.7560.0450.0450.0520.080-0.0470.0470.045-0.0370.0920.0591.000-0.999-0.9990.0650.0640.070-0.008-0.999-0.984-0.6520.071-0.999-0.9991.000-0.999-0.999-0.9991.000
Turbine ok hours [h]-1.0001.0001.0000.0420.0400.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0400.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0450.024-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0400.040-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0690.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.0000.0420.0350.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1261.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0440.021-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.104-0.0680.009-0.1570.7590.0350.035-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0071.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.0000.0420.0460.7930.1650.023-0.087-0.084-0.087-0.0531.0000.166-0.013-0.006-0.020-0.0220.7450.5290.8040.2500.7210.289-0.044-0.003-0.018-0.033-0.039-0.042-0.051-0.0390.1251.0001.0000.1310.1980.3550.0120.0070.008-0.065-0.064-0.0660.0030.7250.4430.161-0.019-0.043-0.041-0.0440.026-0.084-0.084-0.095-0.059-0.090-0.087-0.084-0.051-0.045-0.062-0.0290.002-0.094-0.174-0.1490.1320.1480.1401.0001.0000.5200.2480.2670.251-0.0720.015-0.0630.0570.0460.0190.071-0.0440.105-0.0680.009-0.1570.7590.0460.046-0.052-0.0780.045-0.048-0.0430.037-0.090-0.058-1.0001.0001.000-0.064-0.063-0.0680.0081.0000.9850.652-0.0731.0001.000-0.9991.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:44:11.124800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:44:11.977728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:44:15.276584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001058.01040.01049.03.034.039.040.040.024.039.029.049.0999.0999.054.049.00.055.055.054.059.060.024.0350.810.19.910.00.05.52.74.10.4-3.7347.15.00.034.032.033.033.0121.31.050.0565.8564.9561.266.569.377.4182.073.628.022.60.00.2-0.30.0120.0182.073.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.021.033.073.032.011.0999.0-0.1-1.5-0.80.248.055.046.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0551.00.0382600800.0365966272.0354473760.0349946272.0338780928.0154366192.0107347200.015472151.010587137.0351723040.0245020288.00.00.020018.020018.00.00.00.00.0-341144.069141392.07136086.075936336.0-260860.04402.08003.0-248454.00.00.00.0False
12020-01-01 00:10:001057.01041.01049.02.034.039.040.040.024.039.029.050.0999.0999.053.049.00.054.055.054.059.059.024.0327.310.19.910.00.05.82.83.80.4-2.0349.65.00.033.032.033.033.089.61.050.0566.0565.2561.447.751.158.3190.143.328.036.70.00.5-0.70.089.0190.043.036.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.024.033.073.032.013.0999.00.3-1.5-0.50.448.055.046.042.0600.0600.0600.0600.0600.00.0600.020.00.0600.0226.00.0382600800.0365966848.0354474368.0349946880.0338781536.0154366192.0107347800.015472171.010587137.0351723616.0245020512.00.00.015250.015250.00.00.00.00.0-341144.069141392.07136101.075936352.0-260860.04402.08003.0-248454.00.00.00.0False
22020-01-01 00:20:001056.01044.01049.02.034.039.040.039.024.039.028.050.0999.0999.053.049.00.054.054.054.059.059.024.0119.510.19.910.00.05.92.94.10.3-7.5349.75.00.033.031.033.032.0117.81.050.0566.8566.2562.564.067.574.9161.546.228.034.00.00.6-0.60.0117.0163.045.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.024.033.072.031.012.0999.0-0.1-1.4-0.80.348.055.046.042.0600.0600.0600.0600.0600.00.0600.023.00.0600.0364.00.0382604416.0365967456.0354474944.0349947488.0338782144.0154366192.0107348400.015472194.010587137.0351724224.0245020880.00.00.019382.019382.00.00.00.00.0-341144.069141392.07136121.075936368.0-260860.04402.08003.0-248454.00.00.00.0False
32020-01-01 00:30:001057.01039.01049.03.034.039.040.039.024.039.029.050.0999.0999.053.049.00.055.054.054.059.059.024.0349.810.19.910.00.05.62.74.00.4-0.8349.05.00.034.032.034.033.0109.91.050.0566.7565.9562.459.462.670.3176.545.828.029.00.00.2-0.30.0109.0177.045.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.023.033.072.032.012.0999.00.0-1.5-0.70.348.055.046.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0450.00.0382604416.0365968064.0354475552.0349948064.0338782720.0154366192.0107349000.015472194.010587137.0351724832.0245021328.00.00.018242.018242.00.00.00.00.0-341144.069141392.07136139.075936384.0-260860.04402.08003.0-248454.00.00.00.0False
42020-01-01 00:40:001060.01041.01049.02.033.039.040.039.024.039.028.051.0999.0999.054.049.00.055.055.054.059.059.024.0355.010.19.910.00.05.72.74.30.4-1.9353.25.00.033.031.033.032.0134.11.050.0567.9566.9563.573.477.484.1203.881.727.025.80.00.5-0.70.0133.0204.082.026.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.022.033.072.031.011.0999.0-0.3-1.9-1.00.248.055.046.042.0600.0600.0600.0600.0600.00.0600.019.00.0600.0600.00.0382604416.0365968672.0354476160.0349948672.0338783328.0154366192.0107349600.015472213.010587137.0351725440.0245021936.00.00.022124.022124.00.00.00.00.0-341144.069141392.07136161.075936408.0-260860.04402.08003.0-248454.00.00.00.0False
52020-01-01 00:50:001057.01042.01049.02.033.039.040.039.024.038.029.051.0999.0999.054.049.00.055.055.054.059.059.024.0356.510.19.910.00.05.43.14.20.3-8.3348.35.00.034.033.034.034.0119.31.050.0568.8567.9564.564.868.275.3203.055.527.033.50.00.3-0.80.0118.0205.055.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.021.033.072.032.011.0999.0-0.2-1.9-0.90.348.055.046.042.0600.0600.0600.0600.0600.00.0600.021.00.0600.0558.00.0382604416.0365969280.0354476768.0349949280.0338783936.0154366192.0107350200.015472234.010587137.0351726016.0245022496.00.00.020427.020427.00.00.00.00.0-341144.069141392.07136182.075936432.0-260860.04402.08003.0-248454.00.00.00.0False
62020-01-01 01:00:001058.01041.01049.02.033.038.040.039.024.038.028.051.0999.0999.053.049.00.054.054.054.059.059.024.0349.110.19.910.00.06.02.34.20.5-0.7348.45.00.033.031.033.032.0131.11.050.0569.1568.0564.871.874.882.4212.542.627.054.80.00.2-0.30.0130.0214.041.054.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.021.033.072.031.010.0999.00.6-2.1-0.90.448.055.046.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0295.00.0382604416.0365969856.0354477344.0349949888.0338784544.0154366192.0107350800.015472234.010587137.0351726624.0245022784.00.00.021269.021269.00.00.00.00.0-341144.069141392.07136203.075936448.0-260860.04402.08003.0-248454.00.00.00.0False
72020-01-01 01:10:001065.01039.01049.04.033.039.040.039.024.038.029.052.0999.0999.054.049.00.055.055.054.059.060.024.0349.110.29.910.00.06.53.04.30.4-5.5343.65.00.034.032.034.033.0160.51.050.0568.3567.3564.189.192.799.2228.0110.627.023.10.00.2-0.30.0160.0228.0110.023.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.020.033.072.032.010.0999.0-0.4-2.1-1.10.248.055.046.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0382604416.0365970464.0354477952.0349950464.0338785152.0154366192.0107351400.015472234.010587137.0351727232.0245023392.00.00.026587.026587.00.00.00.00.0-341144.069141392.07136229.075936480.0-260860.04402.08003.0-248454.00.00.00.0False
82020-01-01 01:20:001068.01035.01050.05.033.039.040.040.024.038.029.052.0999.0999.054.049.00.055.055.054.059.060.024.0349.110.29.910.00.06.52.24.60.5-6.5342.65.00.035.033.034.034.0205.71.050.0569.5568.4565.3115.4119.1125.7272.1143.827.028.80.00.2-0.40.0205.0272.0142.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.019.033.072.032.010.0999.0-0.2-2.6-1.50.348.055.046.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0382608000.0365971072.0354478560.0349951072.0338785728.0154366192.0107352000.015472234.010587137.0351727840.0245023984.00.00.033978.033978.00.00.00.00.0-341144.069141392.07136263.075936512.0-260860.04402.08003.0-248454.00.00.00.0False
92020-01-01 01:30:001064.01038.01049.04.033.039.040.040.025.038.028.052.0999.0999.054.049.00.056.055.054.060.060.024.0338.810.29.910.00.06.63.14.80.5-2.1336.95.00.034.032.033.033.0210.41.050.0570.6569.5566.5118.0121.5128.3277.3132.827.028.10.00.6-1.00.0210.0278.0131.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.019.033.073.031.010.0999.0-0.9-2.5-1.70.348.055.046.043.0600.0600.0600.0600.0600.00.0600.032.00.0600.0600.00.0382608000.0365971648.0354479168.0349951680.0338786336.0154366192.0107352600.015472267.010587137.0351728416.0245024592.00.00.035084.035084.00.00.00.00.0-341144.069141392.07136298.075936544.0-260860.04402.08003.0-248454.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001355.01201.01285.029.044.047.048.048.036.053.036.049.0999.0999.057.049.00.061.060.058.061.063.035.0351.912.911.512.20.28.55.16.70.5-3.0348.924.00.040.039.040.040.0477.21.050.0569.4567.8564.6273.3279.5285.5585.2359.936.040.80.00.2-0.40.0477.0585.0353.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.038.034.047.091.039.026.0999.0-2.2-2.8-2.50.054.063.054.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398321984.0381657536.0370086624.0365445312.0354172448.0160467968.0113966128.016129223.010665422.0367239168.0256203648.00.00.079216.079216.00.00.00.00.0-353271.072070864.07593575.079311168.0-268899.04455.08417.0-256026.00.00.00.0False
261992020-06-30 22:30:001348.01163.01254.040.045.047.049.048.036.054.036.049.0999.0999.058.049.00.062.061.058.062.063.035.0351.912.911.111.90.38.55.06.60.5-2.5349.424.00.040.039.040.040.0443.01.050.0571.3569.6566.5252.4258.7264.4577.0322.236.041.40.00.2-0.40.0442.0581.0325.042.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.038.033.048.090.040.026.0999.0-2.2-2.8-2.50.154.063.054.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398321984.0381658144.0370087232.0365445920.0354173056.0160467968.0113966720.016129223.010665422.0367239776.0256204256.00.00.073681.073681.00.00.00.00.0-353271.072070864.07593648.079311240.0-268899.04455.08417.0-256026.00.00.00.0False
262002020-06-30 22:40:001301.01141.01226.030.045.048.049.049.036.054.036.049.0999.0999.057.049.00.062.061.058.062.063.034.0351.912.410.911.60.28.34.86.40.5-2.1349.824.00.041.039.040.040.0436.91.050.0572.4570.7567.7248.5254.7260.2537.8300.636.046.20.00.2-0.40.0436.0540.0293.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.038.033.048.091.040.026.0999.0-2.2-2.8-2.50.154.063.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398321984.0381658752.0370087840.0365446528.0354173664.0160467968.0113967328.016129223.010665422.0367240384.0256204848.00.00.073398.073398.00.00.00.00.0-353271.072070864.07593722.079311312.0-268899.04455.08417.0-256026.00.00.00.0False
262012020-06-30 22:50:001305.01090.01213.043.045.048.049.049.034.054.036.049.0999.0999.057.049.00.061.060.058.062.063.034.0351.912.510.411.50.48.24.66.30.6-0.9351.024.00.041.039.040.040.0416.21.050.0572.8570.9567.4235.9242.0248.8590.6278.136.059.90.00.3-0.30.0415.0600.0275.060.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.038.033.047.091.040.025.0999.0-1.6-2.8-2.50.155.064.054.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398321984.0381659360.0370088448.0365447104.0354174240.0160467968.0113967920.016129223.010665422.0367240960.0256205456.00.00.069672.069672.00.00.00.00.0-353271.072070864.07593791.079311384.0-268899.04455.08417.0-256026.00.00.00.0False
262022020-06-30 23:00:001318.01124.01221.037.045.048.049.049.036.054.036.049.0999.0999.057.049.00.061.060.058.062.063.035.0357.012.610.711.60.38.35.06.40.5-0.7356.324.00.041.039.040.040.0424.21.050.0573.5571.3567.8240.0246.6253.5572.3290.536.052.00.00.5-0.70.0423.0574.0287.052.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.037.032.047.091.040.025.0999.0-2.0-2.8-2.50.155.064.054.046.0600.0600.0600.0600.0600.00.0600.015.00.0600.0600.00.0398321984.0381659968.0370089024.0365447712.0354174848.0160467968.0113968528.016129238.010665422.0367241568.0256206048.00.00.070630.070630.00.00.00.00.0-353271.072070864.07593862.079311448.0-268899.04455.08417.0-256026.00.00.00.0False
262032020-06-30 23:10:001334.01081.01213.052.046.048.049.049.036.054.036.049.0999.0999.057.049.00.061.060.058.062.063.035.094.412.710.311.50.57.95.06.30.5-3.01.924.00.041.039.040.040.0403.41.050.0574.1571.9568.4227.5234.2241.1556.0263.936.055.70.00.6-0.30.0402.0559.0262.056.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.037.032.048.091.040.025.0999.0-2.0-2.8-2.50.155.064.054.047.0600.0600.0600.0600.0600.00.0600.015.00.0600.0600.00.0398321984.0381660544.0370089632.0365448320.0354175456.0160467968.0113969120.016129253.010665422.0367242176.0256206656.00.00.067095.067095.00.00.00.00.0-353271.072070864.07593929.079311520.0-268899.04455.08417.0-256026.00.00.00.0False
262042020-06-30 23:20:001221.01047.01101.032.046.048.049.049.037.054.036.049.0999.0999.056.049.00.060.059.057.061.063.035.0116.911.710.010.50.37.14.35.70.4-7.3356.824.00.042.039.039.039.0325.81.050.0573.6571.2568.0183.0189.0195.8444.8225.136.037.50.00.7-0.40.0325.0445.0222.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.037.032.048.092.040.025.0999.0-2.0-2.8-2.50.155.064.054.047.0600.0600.0600.0600.0600.00.0600.019.00.0600.0600.00.0398325600.0381661152.0370090240.0365448928.0354176064.0160467968.0113969728.016129272.010665422.0367242784.0256207248.00.00.054739.054739.00.00.00.00.0-353271.072070864.07593984.079311576.0-268899.04455.08417.0-256026.00.00.00.0False
262052020-06-30 23:30:001186.01044.01070.024.045.047.048.048.037.053.036.049.0999.0999.056.049.00.059.059.056.061.062.035.0358.211.310.010.20.26.94.05.40.5-1.9356.324.00.041.038.039.039.0280.01.050.0572.2569.1566.2156.1163.0169.7407.7217.536.035.50.00.2-0.30.0279.0409.0216.035.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.037.032.048.092.039.025.0999.0-1.8-2.8-2.40.155.064.055.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398325600.0381661760.0370090848.0365449504.0354176640.0160467968.0113970320.016129272.010665422.0367243360.0256207856.00.00.046716.046716.00.00.00.00.0-353271.072070864.07594031.079311616.0-268899.04455.08417.0-256026.00.00.00.0False
262062020-06-30 23:40:001151.01043.01064.018.045.047.048.048.035.052.036.050.0999.0999.055.049.00.059.058.056.060.062.034.0358.211.09.910.10.16.73.85.40.51.0359.224.00.041.038.039.039.0259.51.050.0570.4567.3564.5144.4151.5158.2321.2154.336.020.80.00.2-0.30.0259.0322.0154.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.038.032.048.093.039.025.0999.0-1.5-2.8-2.40.255.064.055.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0398325600.0381662336.0370091424.0365450112.0354177248.0160467968.0113970928.016129272.010665422.0367243968.0256208448.00.00.043212.043212.00.00.00.00.0-353271.072070864.07594074.079311664.0-268899.04455.08417.0-256026.00.00.00.0False
262072020-06-30 23:50:001093.01044.01054.09.044.046.048.047.034.052.036.049.0999.0999.055.049.00.058.058.056.060.061.034.0242.310.49.910.00.06.33.75.10.42.33.024.00.041.038.039.039.0217.01.050.0567.9564.6561.9119.7127.0133.8270.3175.036.021.30.00.3-0.60.0216.0270.0174.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.037.032.048.093.039.025.0999.0-1.3-2.7-2.10.355.064.054.044.0600.0600.0600.0600.0600.00.0600.017.00.0600.0600.00.0398325600.0381662944.0370092032.0365450720.0354177856.0160467968.0113971528.016129290.010665422.0367244576.0256209056.00.00.036611.036611.00.00.00.00.0-353271.072070864.07594110.079311696.0-268899.04455.08417.0-256026.00.00.00.0False